FEED Validator

Congratulations!

This is a valid RSS feed.

Recommendations

This feed is valid, but interoperability with the widest range of feed readers could be improved by implementing the following recommendations.

• line 54, column 0: Non-html tag: svg (36 occurrences) [help]

  <label for="ez-toc-cssicon-toggle-item-662b2c085e5c4" class="ez-toc-cssicon- ...
  

• line 54, column 0: content:encoded should not contain aria-label attribute (9 occurrences) [help]

  <label for="ez-toc-cssicon-toggle-item-662b2c085e5c4" class="ez-toc-cssicon- ...
  

• line 124, column 0: content:encoded should not contain decoding attribute (114 occurrences) [help]

  <p><img decoding="async" class="alignright wp-image-222788 size-full" src="h ...
  

• line 124, column 0: content:encoded should not contain sizes attribute (111 occurrences) [help]

  <p><img decoding="async" class="alignright wp-image-222788 size-full" src="h ...
  

• line 154, column 0: style attribute contains potentially dangerous content: justify-content (311 occurrences) [help]

  <div style="display: flex; justify-content: center; align-items: center; pad ...
  

• line 500, column 0: content:encoded should not contain style tag (2 occurrences) [help]

          <style>
  

• line 714, column 0: content:encoded should not contain aria-describedby attribute (7 occurrences) [help]

  <figure id="attachment_224517" aria-describedby="caption-attachment-224517"  ...
  

Source: http://www.eweek.com/rss.xml

1. <?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
2. xmlns:content="http://purl.org/rss/1.0/modules/content/"
3. xmlns:wfw="http://wellformedweb.org/CommentAPI/"
4. xmlns:dc="http://purl.org/dc/elements/1.1/"
5. xmlns:atom="http://www.w3.org/2005/Atom"
6. xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
7. xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
8. >
9.  
10. <channel>
11. <title>eWEEK</title>
12. <atom:link href="https://www.eweek.com/feed/" rel="self" type="application/rss+xml" />
13. <link>https://www.eweek.com/</link>
14. <description>Technology News, Tech Product Reviews, Research and Enterprise Analysis</description>
15. <lastBuildDate>Thu, 25 Apr 2024 22:46:48 +0000</lastBuildDate>
16. <language>en-US</language>
17. <sy:updatePeriod>
18. hourly </sy:updatePeriod>
19. <sy:updateFrequency>
20. 1 </sy:updateFrequency>
21. <generator>https://wordpress.org/?v=6.4.3</generator>
22. <item>
23. <title>8 Best Natural Language Processing Tools 2024</title>
24. <link>https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/</link>
26. <dc:creator><![CDATA[Aminu Abdullahi]]></dc:creator>
27. <pubDate>Thu, 25 Apr 2024 22:46:48 +0000</pubDate>
28. <category><![CDATA[Artificial Intelligence]]></category>
29. <category><![CDATA[Latest News]]></category>
30. <category><![CDATA[AI]]></category>
31. <category><![CDATA[machine learning]]></category>
32. <category><![CDATA[natural language processing tools]]></category>
33. <category><![CDATA[NLP]]></category>
34. <guid isPermaLink="false">https://www.eweek.com/?p=224536</guid>
35.  
36. <description><![CDATA[<p>Natural language processing (NLP) tools are software applications that can process and analyze text or speech in standard conversation format. The advantage offered by NLP is that users can interact with artificial systems without needing to input software code or other complex commands. To accomplish this, NLP tools leverage machine learning algorithms, linguistic rules, and [&#8230;]</p>
37. <p>The post <a href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/">8 Best Natural Language Processing Tools 2024</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
38. ]]></description>
39. <content:encoded><![CDATA[<p>Natural language processing (NLP) tools are software applications that can process and analyze text or speech in standard conversation format. The advantage offered by NLP is that users can interact with artificial systems without needing to input software code or other complex commands.</p>
40. <p>To accomplish this, NLP tools leverage machine learning algorithms, linguistic rules, and statistical techniques. NLP&#8217;s ability to understand human language is enabling AI to advance at an exponentially faster pace. These tools offer significant competitive advantage to those companies that effectively use them.</p>
41. <p>This review of the best NLP software analyzed the eight top-rated tools for various users and organizations. We evaluated each tool’s features, pros and cons, and pricing. See our top picks below and read to the end to find out which NLP software is best for your business.</p>
42. <ul>
43. <li><strong><a href="https://link.technologyadvice.com/r/gensim-main" target="_blank" rel="noopener nofollow">Gensim</a>:</strong> Best for Budget-Conscious NLP Projects</li>
44. <li><strong><a href="https://link.technologyadvice.com/r/spacy-main" target="_blank" rel="noopener nofollow">spaCy</a>:</strong> Best for Lightning-Fast Text Processing and Advanced NLP Tasks</li>
45. <li><strong><a href="https://link.technologyadvice.com/r/ibm-watson" target="_blank" rel="noopener nofollow">IBM Watson</a>:</strong> Best for Advanced Text Analytics</li>
46. <li><strong><a href="https://link.technologyadvice.com/r/natural-language-toolkit-main" target="_blank" rel="noopener nofollow">Natural Language Toolkit</a>:</strong> Best for Educators and Researchers</li>
47. <li><strong><a href="https://link.technologyadvice.com/r/monkeylearn-main" target="_blank" rel="noopener nofollow">MonkeyLearn</a>:</strong> Best for Ease of Use and Performing Text Analysis</li>
48. <li><strong><a href="https://link.technologyadvice.com/r/textblob-main" target="_blank" rel="noopener nofollow">TextBlob</a>:</strong> Best for Beginners and Initial Prototyping in NLP Projects</li>
49. <li><strong><a href="https://link.technologyadvice.com/r/stanford-corenlp" target="_blank" rel="noopener nofollow">Stanford Core NLP</a>:</strong> Best for Information Extraction and Executing Complex NLP Tasks</li>
50. <li><strong><a href="https://link.technologyadvice.com/r/google-cloud-natural-language" target="_blank" rel="noopener nofollow">Google Cloud Natural Language API</a>:</strong> Best for Extracting Insights and Analyzing from Large Amounts of Text Data</li>
51. </ul>
52. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
53. <p class="ez-toc-title">TABLE OF CONTENTS</p>
54. <label for="ez-toc-cssicon-toggle-item-662b2c085e5c4" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c085e5c4"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#top-natural-language-processing-software-comparison" title="Top Natural Language Processing Software Comparison">Top Natural Language Processing Software Comparison</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#gensim-best-for-budget-conscious-nlp-projects" title="Gensim: Best for Budget-Conscious NLP Projects">Gensim: Best for Budget-Conscious NLP Projects</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#spacy-best-for-lightning-fast-text-processing-and-advanced-nlp-tasks" title="spaCy: Best for Lightning-Fast Text Processing and Advanced NLP Tasks">spaCy: Best for Lightning-Fast Text Processing and Advanced NLP Tasks</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#ibm-watson-best-for-advanced-text-analytics" title="IBM Watson: Best for Advanced Text Analytics">IBM Watson: Best for Advanced Text Analytics</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#natural-language-toolkit-best-for-educators-and-researchers" title="Natural Language Toolkit: Best for Educators and Researchers">Natural Language Toolkit: Best for Educators and Researchers</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#monkeylearn-best-for-ease-of-use-and-performing-text-analysis" title="MonkeyLearn: Best for Ease of Use and Performing Text Analysis">MonkeyLearn: Best for Ease of Use and Performing Text Analysis</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#textblob-best-for-beginners-and-initial-prototyping-in-nlp-projects" title="TextBlob: Best for Beginners and Initial Prototyping in NLP Projects">TextBlob: Best for Beginners and Initial Prototyping in NLP Projects</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-8" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#stanford-core-nlp-best-for-information-extraction-and-executing-complex-nlp-tasks" title="Stanford Core NLP: Best for Information Extraction and Executing Complex NLP Tasks">Stanford Core NLP: Best for Information Extraction and Executing Complex NLP Tasks</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-9" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#google-cloud-natural-language-api-best-for-extracting-insights-and-analyzing-from-large-amounts-of-text-data" title="Google Cloud Natural Language API: Best for Extracting Insights and Analyzing from Large Amounts of Text Data">Google Cloud Natural Language API: Best for Extracting Insights and Analyzing from Large Amounts of Text Data</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-10" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#how-to-choose-the-best-natural-language-processing-software-for-your-business" title="How to Choose the Best Natural Language Processing Software for Your Business">How to Choose the Best Natural Language Processing Software for Your Business</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-11" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#frequently-asked-questions-faqs" title="Frequently Asked Questions (FAQs)">Frequently Asked Questions (FAQs)</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-12" href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/#bottom-line-natural-language-processing-software-drives-ai" title="Bottom Line: Natural Language Processing Software Drives AI">Bottom Line: Natural Language Processing Software Drives AI</a></li></ul></nav></div>
55.  
56. <h2><strong>Top Natural Language Processing Software Comparison</strong></h2>
57. <table style="width: 100%;">
58. <tbody>
59. <tr>
60. <th style="width: 20%;"></th>
61. <th style="width: 20%; text-align: center;">Language Support</th>
62. <th style="width: 20%; text-align: center;">Open Source</th>
63. <th style="width: 20%; text-align: center;">License</th>
64. <th style="width: 20%; text-align: center;">Cost</th>
65. </tr>
66. <tr>
67. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/gensim-main" target="_blank" rel="noopener nofollow"><strong>Gensim</strong></a></td>
68. <td style="text-align: center;">Python</td>
69. <td style="text-align: center;">Yes</td>
70. <td style="text-align: center;">LGPL</td>
71. <td style="text-align: center;">Free</td>
72. </tr>
73. <tr>
74. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/spacy-main" target="_blank" rel="noopener nofollow"><strong>spaCy</strong></a></td>
75. <td style="text-align: center;">Python</td>
76. <td style="text-align: center;">Yes</td>
77. <td style="text-align: center;">MIT</td>
78. <td style="text-align: center;">Free</td>
79. </tr>
80. <tr>
81. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/ibm-watson" target="_blank" rel="noopener nofollow"><strong>IBM Watson</strong></a></td>
82. <td style="text-align: center;">Various</td>
83. <td style="text-align: center;">No</td>
84. <td style="text-align: center;">Proprietary</td>
85. <td style="text-align: center;">Starts at $0.003 per item</td>
86. </tr>
87. <tr>
88. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/natural-language-toolkit-main" target="_blank" rel="noopener nofollow"><strong>Natural Language Toolkit</strong></a></td>
89. <td style="text-align: center;">Python</td>
90. <td style="text-align: center;">Yes</td>
91. <td style="text-align: center;">Apache 2.0</td>
92. <td style="text-align: center;">Free</td>
93. </tr>
94. <tr>
95. <td><a href="https://link.technologyadvice.com/r/monkeylearn-main" target="_blank" rel="noopener nofollow"><strong>MonkeyLearn</strong></a></td>
96. <td style="text-align: center;">Web-based API</td>
97. <td style="text-align: center;">No</td>
98. <td style="text-align: center;">Proprietary</td>
99. <td style="text-align: center;">$299/month</td>
100. </tr>
101. <tr>
102. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/textblob-main" target="_blank" rel="noopener nofollow"><strong>TextBlob</strong></a></td>
103. <td style="text-align: center;">Python</td>
104. <td style="text-align: center;">Yes</td>
105. <td style="text-align: center;">MIT</td>
106. <td style="text-align: center;">Free</td>
107. </tr>
108. <tr>
109. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/stanford-corenlp" target="_blank" rel="noopener nofollow"><strong>Stanford Core NLP</strong></a></td>
110. <td style="text-align: center;">Java</td>
111. <td style="text-align: center;">Yes</td>
112. <td style="text-align: center;">GPL</td>
113. <td style="text-align: center;">Free</td>
114. </tr>
115. <tr>
116. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/google-cloud-natural-language" target="_blank" rel="noopener nofollow"><strong>Google Cloud Natural Language API</strong></a></td>
117. <td style="text-align: center;">Various</td>
118. <td style="text-align: center;">No</td>
119. <td style="text-align: center;">Proprietary</td>
120. <td style="text-align: center;">Varies</td>
121. </tr>
122. </tbody>
123. </table>
124. <p><img decoding="async" class="alignright wp-image-222788 size-full" src="https://www.eweek.com/wp-content/uploads/2023/07/gensim-icon.png" alt="Gensim icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2023/07/gensim-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/07/gensim-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
125. <h2><strong>Gensim: Best for Budget-Conscious NLP Projects</strong></h2>
126. <p>Gensim is an open-source Python library – so it can be used free of charge – for <a href="https://www.eweek.com/big-data-and-analytics/natural-language-processing/">natural language processing</a> tasks such as document indexing, similarity retrieval, and unsupervised semantic modeling. It is commonly used for analyzing plain text to uncover the semantic structure within documents. The solution provides algorithms and tools for implementing various <a href="https://www.eweek.com/big-data-and-analytics/machine-learning/">machine learning models</a>, such as Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), and word2vec.</p>
127. <p>Gensim also offers pre-trained models for word embeddings, which can be used for tasks like semantic similarity, document classification, and clustering. Our research found that Gensim can process large text collections using incremental online algorithms without requiring all the text data to be stored in memory, making it suitable for analyzing extensive web-based text datasets.</p>
128. <h3><strong>Pros and Cons</strong></h3>
129. <table style="width: 100%;">
130. <tbody>
131. <tr>
132. <th style="width: 50%; text-align: center;">Pros</th>
133. <th style="width: 50%; text-align: center;">Cons</th>
134. </tr>
135. <tr>
136. <td>Platform independent</td>
137. <td>Mastering the algorithms and techniques for text analysis may require some learning and experimentation</td>
138. </tr>
139. <tr>
140. <td>Users say Gensim’s Word2vec, Doc2vec, and LDA tools are valuable for their workflow</td>
141. <td>Gensim is ideal for NLP tasks but not as versatile for other ML tasks</td>
142. </tr>
143. </tbody>
144. </table>
145. <h3><strong>Pricing</strong></h3>
146. <p>Gensim is free, open-source software published under the GNU Lesser General Public License (LGPL).</p>
147. <h3><strong>Features</strong></h3>
148. <ul>
149. <li>Data streaming</li>
150. <li>Similarity retrieval</li>
151. <li>The software runs on Linux, Windows, OS X, and any other platform that supports Python 3.6+ and NumPy</li>
152. <li>Gensim allows users to efficiently index and store large collections of text documents for easy retrieval and analysis</li>
153. </ul>
154. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
155. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/gensim-main" target="_blank" rel="noopener nofollow">Visit Gensim</a></div>
156. </div>
157. <div><em><strong>To gain a deeper understanding of today&#8217;s top large language models, read our guide to <a href="https://www.eweek.com/artificial-intelligence/best-large-language-models">Best Large Language Models</a></strong></em></div>
158. <p><img decoding="async" class="size-full wp-image-224542 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/spacy-icon.png" alt="spaCy icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/spacy-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/spacy-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
159. <h2><strong>spaCy: Best for Lightning-Fast Text Processing and Advanced NLP Tasks</strong></h2>
160. <p>spaCy stands out for its speed and efficiency in text processing, making it a top choice for large-scale NLP tasks. Its pre-trained models can perform various NLP tasks out of the box, including tokenization, part-of-speech tagging, and dependency parsing. Its ease of use and streamlined API make it a popular choice among developers and researchers working on NLP projects.</p>
161. <p>SpaCy’s support for over 75 languages and 84 trained pipelines for 25 languages makes it a versatile tool for working with text in different languages. It uses multi-task learning with pre-trained transformers like BERT, allowing users to leverage state-of-the-art models for various NLP tasks.</p>
162. <h3><strong>Pros and Cons</strong></h3>
163. <table style="width: 100%;">
164. <tbody>
165. <tr>
166. <th style="width: 50%; text-align: center;">Pros</th>
167. <th style="width: 50%; text-align: center;">Cons</th>
168. </tr>
169. <tr>
170. <td>Easy to use; spaCy’s API is straightforward and user-friendly</td>
171. <td>Limited flexibility compared to Natural Language Toolkit (NLTK) in terms of customization and fine-tuning</td>
172. </tr>
173. <tr>
174. <td>It’s common in the NLP community due to its speed and efficiency</td>
175. <td>Limited language support</td>
176. </tr>
177. </tbody>
178. </table>
179. <h3><strong>Pricing</strong></h3>
180. <p>SpaCy is a free, open-source library that can be used for both personal and commercial projects.</p>
181. <h3><strong>Features</strong></h3>
182. <ul>
183. <li>Sentiment analysis</li>
184. <li>Dependency parsing</li>
185. <li>Word vectors</li>
186. <li>Components for named entity recognition, part-of-speech tagging, sentence segmentation, text classification, lemmatization, morphological analysis, and entity linking</li>
187. </ul>
188. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
189. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/spacy-main" target="_blank" rel="noopener nofollow">Visit SpaCy</a></div>
190. </div>
191. <p><img decoding="async" class="size-full wp-image-222325 alignright" src="https://www.eweek.com/wp-content/uploads/2023/05/ibm-icon.png" alt="IBM icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2023/05/ibm-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/ibm-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
192. <h2><strong>IBM Watson: Best for Advanced Text Analytics</strong></h2>
193. <p>IBM Watson Natural Language Understanding (NLU) is a <a href="https://www.eweek.com/cloud/cloud-service-providers/">cloud-based platform</a> that uses advanced <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/">artificial intelligence</a> and natural language processing techniques to analyze and understand text data. It can extract critical information from unstructured text, such as entities, keywords, sentiment, emotion, and categories. IBM Watson NLU can be used in various applications, such as social media monitoring, customer feedback analysis, and content categorization.</p>
194. <p>IBM Watson NLU is well-suited for organizations that require advanced text analytics capabilities to enhance their decision-making processes and gain a deeper understanding of customer feedback, market trends, and other textual data sources.</p>
195. <h3><strong>Pros and Cons</strong></h3>
196. <table style="width: 100%;">
197. <tbody>
198. <tr>
199. <th style="width: 50%; text-align: center;">Pros</th>
200. <th style="width: 50%; text-align: center;">Cons</th>
201. </tr>
202. <tr>
203. <td>Simple and easy to use</td>
204. <td>Documentation can be improved</td>
205. </tr>
206. <tr>
207. <td>It recognizes semantic roles</td>
208. <td>Sentiment analysis accuracy can be improved</td>
209. </tr>
210. </tbody>
211. </table>
212. <h3><strong>Pricing</strong></h3>
213. <ul>
214. <li><strong>Lite:</strong> The Lite plan includes 30,000 NLU items and one custom model per month. If you exceed this limit, your NLU instance will be temporarily suspended until the start of the following month.</li>
215. <li><strong>Standard:</strong> The Standard Plan includes support for over 5 million items per month, with pricing starting at $0.003 per item. This version also offers unlimited custom entities and relations models trained with WKS for $800 and custom classification models for $25.</li>
216. </ul>
217. <h3><strong>Features</strong></h3>
218. <ul>
219. <li>Text analytics</li>
220. <li>Domain customization</li>
221. <li>Entity detection — detects people, places, events, and other entities mentioned in your content</li>
222. <li>Sentiment analysis</li>
223. <li>Emotion extractions</li>
224. </ul>
225. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
226. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/ibm-watson" target="_blank" rel="noopener nofollow">Visit IBM Watson</a></div>
227. </div>
228. <p><img decoding="async" class="size-full wp-image-224541 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/natural_language_toolkit-icon.png" alt="Natural Language Toolkit icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/natural_language_toolkit-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/natural_language_toolkit-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
229. <h2><strong>Natural Language Toolkit: Best for Educators and Researchers</strong></h2>
230. <p>The Natural Language Toolkit (NLTK) is a Python library for NLP tasks. It includes modules for functions such as tokenization, part-of-speech tagging, parsing, and named entity recognition. NLTK also provides access to various corpora (over 50) and lexicons for use in natural language processing projects.</p>
231. <p>NLTK is widely used in academia and industry for research, education, and NLP application building, and so have major community support. It offers a wide range of functionality for processing and analyzing text data, making it a valuable resource for those working on tasks such as sentiment analysis, text classification, machine translation, and more.</p>
232. <h3><strong>Pros and Cons</strong></h3>
233. <table style="width: 100%;">
234. <tbody>
235. <tr>
236. <th style="width: 50%; text-align: center;">Pros</th>
237. <th style="width: 50%; text-align: center;">Cons</th>
238. </tr>
239. <tr>
240. <td>It offers educational value as it’s widely used by  linguists, educators, researchers, and students</td>
241. <td>It may not always offer the best performance for large-scale production systems compared to more optimized libraries and frameworks</td>
242. </tr>
243. <tr>
244. <td>Rich community support</td>
245. <td>NLTK can be complex for beginners</td>
246. </tr>
247. </tbody>
248. </table>
249. <h3><strong>Pricing</strong></h3>
250. <p>NLTK is a free, open-source, community-driven project.</p>
251. <h3><strong>Features</strong></h3>
252. <ul>
253. <li>NLTK is available for Windows, Mac OS X, and Linux</li>
254. <li>It allows you to tokenize and tag some text</li>
255. <li>WordNet integration</li>
256. <li>Named entity recognition</li>
257. </ul>
258. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
259. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/natural-language-toolkit-main" target="_blank" rel="noopener nofollow">Visit Natural Language Toolkit</a></div>
260. </div>
261. <div><em><b style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">For more information about generative AI providers, read our in-depth guide: </b><a style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=generative-ai-companies-top-12-leaders"><b>Generative AI Companies: Top 20 Leaders</b></a></em></div>
262. <p><img decoding="async" class="size-full wp-image-222651 alignright" src="https://www.eweek.com/wp-content/uploads/2023/06/monkeylearn-icon.png" alt="Monkeylearn icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2023/06/monkeylearn-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/06/monkeylearn-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
263. <h2><strong>MonkeyLearn: Best for Ease of Use and Performing Text Analysis</strong></h2>
264. <p>MonkeyLearn is an ML platform that offers a wide range of text analysis tools for businesses and individuals. With MonkeyLearn, users can build, train, and deploy custom text analysis models to extract insights from their data. The platform provides pre-trained models for everyday text analysis tasks such as sentiment analysis, entity recognition, and keyword extraction, as well as the ability to create custom models tailored to specific needs.</p>
265. <p>Using MonkeyLearn&#8217;s APIs, you can integrate MonkeyLearn with various third-party applications, such as Zapier, Excel, and Zendesk, or your platform.</p>
266. <h3><strong>Pros and Cons</strong></h3>
267. <table style="width: 100%;">
268. <tbody>
269. <tr>
270. <th style="width: 50%; text-align: center;">Pros</th>
271. <th style="width: 50%; text-align: center;">Cons</th>
272. </tr>
273. <tr>
274. <td>User-friendly interface with a modern design</td>
275. <td>Limited integrations</td>
276. </tr>
277. <tr>
278. <td>Easy to implement</td>
279. <td>Some users say it&#8217;s expensive</td>
280. </tr>
281. </tbody>
282. </table>
283. <h3><strong>Pricing</strong></h3>
284. <p>Although MonkeyLearn doesn’t publicly advertise its rates on its website, publicly available information shows that the MonkeyLearn API costs $299/month, including 10k queries/month. For your actual rate, contact the company for a custom quote.</p>
285. <h3><strong>Features</strong></h3>
286. <ul>
287. <li>Text classifiers.</li>
288. <li>Text extractors.</li>
289. <li>Data visualization capability.</li>
290. <li>CSAT analysis.</li>
291. <li>Pre-built and custom machine learning models.</li>
292. </ul>
293. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
294. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/monkeylearn-main" target="_blank" rel="noopener nofollow">Visit MonkeyLearn</a></div>
295. </div>
296. <p><img decoding="async" class="size-full wp-image-224540 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/textblob-icon.png" alt="TextBlob icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/textblob-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/textblob-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
297. <h2><strong>TextBlob: Best for Beginners and Initial Prototyping in NLP Projects</strong></h2>
298. <p>TextBlob is a Python library that provides an intuitive interface for performing everyday NLP tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. It is built on top of NLTK and Pattern, two widely used NLP libraries in Python.</p>
299. <p>While it is excellent for initial prototyping in NLP projects, its lower performance inherited from NLTK may make it unsuitable for enterprise large-scale production use. On the other hand, its ease of use is certainly a major positive for TextBlob: there is an enormous amount of new AI projects being launched by beginners (or near beginners) so TextBlob&#8217;s user base will likely grow.</p>
300. <h3><strong>Pros and Cons</strong></h3>
301. <table style="width: 100%;">
302. <tbody>
303. <tr>
304. <th style="width: 50%; text-align: center;">Pros</th>
305. <th style="width: 50%; text-align: center;">Cons</th>
306. </tr>
307. <tr>
308. <td>Provides language translation and detection</td>
309. <td>Sentiment analysis capability can be improved</td>
310. </tr>
311. <tr>
312. <td>Easy to use</td>
313. <td>Not fast</td>
314. </tr>
315. </tbody>
316. </table>
317. <h3><strong>Pricing</strong></h3>
318. <p>TextBlob is a free, open-source library in Python.</p>
319. <h3><strong>Features</strong></h3>
320. <ul>
321. <li>Part-of-speech tagging</li>
322. <li>Sentiment analysis</li>
323. <li>Classification (Naive Bayes, decision tree)</li>
324. <li>Tokenization</li>
325. <li>Noun phrase extraction</li>
326. </ul>
327. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
328. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/textblob-main" target="_blank" rel="noopener nofollow">Visit TextBlob</a></div>
329. </div>
330. <p><img decoding="async" class="size-full wp-image-224539 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/stanford_nlp-icon.png" alt="Stanford NLP icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/stanford_nlp-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/stanford_nlp-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
331. <h2><strong>Stanford Core NLP: Best for Information Extraction and Executing Complex NLP Tasks</strong></h2>
332. <p>Stanford CoreNLP is written in Java and can analyze text in various programming languages, meaning it&#8217;s available to a wide array of developers. Indeed, it&#8217;s a popular choice for developers working on projects that involve complex processing and understanding natural language text.</p>
333. <p>CoreNLP provides a set of natural language analysis tools that can give detailed information about the text, such as part-of-speech tagging, named entity recognition, sentiment and <a href="https://www.eweek.com/news/text-analysis-tools/">text analysis</a>, parsing, dependency and constituency parses, and coreference. Its scalability and speed optimization stand out, making it suitable for complex tasks.</p>
334. <h3><strong>Pros and Cons</strong></h3>
335. <table style="width: 100%;">
336. <tbody>
337. <tr>
338. <th style="width: 50%; text-align: center;">Pros</th>
339. <th style="width: 50%; text-align: center;">Cons</th>
340. </tr>
341. <tr>
342. <td>Multilingual</td>
343. <td>Limited language support – 8 languages only</td>
344. </tr>
345. <tr>
346. <td>Fast and efficient</td>
347. <td>Java dependency</td>
348. </tr>
349. </tbody>
350. </table>
351. <h3><strong>Pricing</strong></h3>
352. <p>Stanford CoreNLP is a free, open-source tool.</p>
353. <h3><strong>Features</strong></h3>
354. <ul>
355. <li>Dependency parsing</li>
356. <li>Tokenization</li>
357. <li>Part-of-speech tagging</li>
358. <li>Sentiment analysis</li>
359. <li>Constituency parsing</li>
360. <li>Multilingual Support — up to 8 languages</li>
361. </ul>
362. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
363. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/stanford-corenlp" target="_blank" rel="noopener nofollow">Visit Stanford Core NLP</a></div>
364. </div>
365. <p><img decoding="async" class="size-full wp-image-222602 alignright" src="https://www.eweek.com/wp-content/uploads/2023/06/google_cloud-icon.png" alt="Google Cloud icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2023/06/google_cloud-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/06/google_cloud-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
366. <h2><strong>Google Cloud Natural Language API: Best for Extracting Insights and Analyzing from Large Amounts of Text Data</strong></h2>
367. <p>Google Cloud Natural Language API is a service provided by Google that helps developers extract insights from unstructured text using machine learning algorithms. The API can analyze text for sentiment, entities, and syntax and categorize content into different categories. It also provides entity recognition, sentiment analysis, content classification, and syntax analysis tools.</p>
368. <p>It allows users to build custom ML models using AutoML Natural Language. This API leverages Google&#8217;s advanced question-answering and language-understanding technology to help with natural language processing tasks.</p>
369. <h3><strong>Pros and Cons</strong></h3>
370. <table style="width: 100%;">
371. <tbody>
372. <tr>
373. <th style="width: 50%; text-align: center;">Pros</th>
374. <th style="width: 50%; text-align: center;">Cons</th>
375. </tr>
376. <tr>
377. <td>Multilingual support</td>
378. <td>Initial learning curve</td>
379. </tr>
380. <tr>
381. <td>Classify documents in 700+ predefined categories</td>
382. <td>It can be expensive for organizations with large volumes of data</td>
383. </tr>
384. </tbody>
385. </table>
386. <h3><strong>Pricing</strong></h3>
387. <p>Monthly prices per 1,000-character unit:</p>
388. <table style="width: 100%;">
389. <tbody>
390. <tr>
391. <th style="width: 20%; text-align: center;">Feature</th>
392. <th style="width: 20%; text-align: center;">First 5K / month</th>
393. <th style="width: 20%; text-align: center;">5K+ &#8211; 1M</th>
394. <th style="width: 20%; text-align: center;">1M+ &#8211; 5M</th>
395. <th style="width: 20%; text-align: center;">5M+</th>
396. </tr>
397. <tr>
398. <td style="text-align: center;"><strong>Entity analysis</strong></td>
399. <td style="text-align: center;">Free</td>
400. <td style="text-align: center;">$0.0010</td>
401. <td style="text-align: center;">$0.00050</td>
402. <td style="text-align: center;">$0.000250</td>
403. </tr>
404. <tr>
405. <td style="text-align: center;"><strong>Sentiment analysis</strong></td>
406. <td style="text-align: center;">Free</td>
407. <td style="text-align: center;">$0.0010</td>
408. <td style="text-align: center;">$0.00050</td>
409. <td style="text-align: center;">$0.000250</td>
410. </tr>
411. <tr>
412. <td style="text-align: center;"><strong>Syntax analysis</strong></td>
413. <td style="text-align: center;">Free</td>
414. <td style="text-align: center;">$0.0005</td>
415. <td style="text-align: center;">$0.00025</td>
416. <td style="text-align: center;">$0.000125</td>
417. </tr>
418. <tr>
419. <td style="text-align: center;"><strong>Entity sentiment analysis</strong></td>
420. <td style="text-align: center;">Free</td>
421. <td style="text-align: center;">$0.0020</td>
422. <td style="text-align: center;">$0.00100</td>
423. <td style="text-align: center;">$0.000500</td>
424. </tr>
425. </tbody>
426. </table>
427. <p>&nbsp;</p>
428. <h3><strong>Features</strong></h3>
429. <ul>
430. <li>Entity sentiment analysis</li>
431. <li>Content classification</li>
432. <li>Content targeting and discovery</li>
433. <li>Custom content classification</li>
434. </ul>
435. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
436. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/google-cloud-natural-language" target="_blank" rel="noopener nofollow">Visit Google Cloud Natural Language API</a></div>
437. </div>
438. <h2><strong>How to Choose the Best Natural Language Processing Software for Your Business</strong></h2>
439. <p>When shopping for the right natural language processing tool for your needs, consider the specific tasks you want to accomplish with the tool, the complexity of the language data you are working with, the accuracy and performance required, and your budget and technical expertise. And of course this includes your future plans for using AI: you&#8217;ll need a NLP solution that not only handles current needs but also scales with time.</p>
440. <p>Key technical features to consider before making a decision include:</p>
441. <ul>
442. <li>Natural language understanding</li>
443. <li>Text processing and analysis</li>
444. <li>Machine learning and deep learning techniques</li>
445. <li>Multilingual support</li>
446. <li>Scalability and performance</li>
447. <li>Integration and APIs</li>
448. <li>Accuracy and reliability</li>
449. </ul>
450. <h2><strong>Frequently Asked Questions (FAQs)</strong></h2>
451. <h3><strong>How Do Natural Language Processing Tools Work?</strong></h3>
452. <p>Natural language processing tools use algorithms and linguistic rules to analyze and interpret human language. These tools can extract meanings, sentiments, and patterns from text data and can be used for language translation, chatbots, and text summarization tasks.</p>
453. <h3><strong>What Are the Applications of Natural Language Processing Tools?</strong></h3>
454. <ul>
455. <li>Sentiment analysis</li>
456. <li>Information retrieval</li>
457. <li>Speech recognition</li>
458. <li>Chatbots</li>
459. <li>Machine translation</li>
460. <li>Text classification</li>
461. <li>Text summarization</li>
462. </ul>
463. <h3><strong>What Is the Best NLP Software?</strong></h3>
464. <p>There&#8217;s no best natural language processing (NLP) software, as the effectiveness of a tool can vary depending on the specific use case and requirements. Our review captured the best tool for different users and use cases. Generally speaking, an enterprise business user will need a far more robust NLP solution than an academic researcher.</p>
465. <h2><strong>Bottom Line: Natural Language Processing Software Drives AI</strong></h2>
466. <p>In recent years (since the end of 2022, precisely), NLP has become a core part of modern AI, machine learning and other business applications – even existing legacy apps are integrating NLP capabilities into their workflows. Incorporating the best NLP software into your workflows will help you maximize several NLP capabilities, including automation, data extraction, and sentiment analysis.</p>
467. <p>Investing in the best NLP software can help your business streamline processes, gain insights from unstructured data, and improve customer experiences. Take the time to research and evaluate different options to find the right fit for your organization. Ultimately, the success of your <a href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/">AI strategy</a> will greatly depend on your NLP solution.</p>
468. <p><em><strong>For a full portrait of the AI vendors serving a wide array of business needs, read our in-depth guide: <a href="https://www.eweek.com/artificial-intelligence/ai-companies/">150+ Top AI Companies </a></strong></em></p>
469. <p>The post <a href="https://www.eweek.com/artificial-intelligence/natural-language-processing-tools/">8 Best Natural Language Processing Tools 2024</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
470. ]]></content:encoded>
474. </item>
475. <item>
476. <title>How to Use AI in Sales: Top Strategies, Examples, and Tools</title>
477. <link>https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/</link>
479. <dc:creator><![CDATA[Collins Ayuya]]></dc:creator>
480. <pubDate>Wed, 24 Apr 2024 22:20:45 +0000</pubDate>
481. <category><![CDATA[Artificial Intelligence]]></category>
482. <category><![CDATA[Latest News]]></category>
483. <category><![CDATA[ai in sales]]></category>
484. <category><![CDATA[artificial intelligence]]></category>
485. <category><![CDATA[sales and AI]]></category>
486. <guid isPermaLink="false">https://www.eweek.com/?p=224460</guid>
487.  
488. <description><![CDATA[<p>Seeking ways on how to use AI in sales? Step into the future of sales with AI-driven techniques.</p>
489. <p>The post <a href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/">How to Use AI in Sales: Top Strategies, Examples, and Tools</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
490. ]]></description>
491. <content:encoded><![CDATA[<p>AI helps the sales process by automating routine tasks, analyzing customer data, and optimizing sales strategies, which enables businesses to improve the accuracy of prospect targeting and personalize customer interactions. AI not only accelerates sales workflows but also provides deeper insights into customer behaviors and trends.</p>
492. <p>In a technical sense, AI in sales is the application of machine learning algorithms and AI-based analytical techniques to enhance several aspects of the sales process. In terms of revenue generation, AI can &#8220;hyper-charge&#8221; the sales process – so it&#8217;s no surprise that AI is quickly become an essentially sales tool.</p>
493. <p>To help you better implement AI in your sales processes, we&#8217;ll dive into various aspects of this rapidly growing sector, from the top strategies to the advantages of AI in sales. We&#8217;ll also look at some top tools and some leading examples of AI in sales.</p>
494. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
495. <p class="ez-toc-title">TABLE OF CONTENTS</p>
496. <label for="ez-toc-cssicon-toggle-item-662b2c08b0b73" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c08b0b73"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#featured-partners-sales-software" title="Featured Partners: Sales Software">Featured Partners: Sales Software</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#ai-in-sales-top-strategies" title="AI in Sales: Top Strategies">AI in Sales: Top Strategies</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#deep-dive-understanding-ais-advantages-in-sales" title="Deep Dive: Understanding AI&#8217;s Advantages in Sales">Deep Dive: Understanding AI&#8217;s Advantages in Sales</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#navigating-the-challenges-of-ai-in-sales" title="Navigating the Challenges of AI in Sales">Navigating the Challenges of AI in Sales</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#ai-in-sales-use-case-examples" title="AI in Sales: Use Case Examples">AI in Sales: Use Case Examples</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#the-future-of-ai-in-sales-innovations-and-trends" title="The Future of AI in Sales: Innovations and Trends">The Future of AI in Sales: Innovations and Trends</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#will-ai-replace-sales-jobs" title="Will AI Replace Sales Jobs?">Will AI Replace Sales Jobs?</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-8" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#3-popular-ai-tools-for-sales" title="3 Popular AI Tools for Sales">3 Popular AI Tools for Sales</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-9" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#frequently-asked-questions-faqs" title="Frequently Asked Questions (FAQs)">Frequently Asked Questions (FAQs)</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-10" href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/#bottom-line-using-ai-in-sales-creates-opportunities" title="Bottom Line: Using AI in Sales Creates Opportunities">Bottom Line: Using AI in Sales Creates Opportunities</a></li></ul></nav></div>
497.  
498. <!-- ICP Plugin: Start --><div class="icp-list icp-list-main icp-list-body-top3 row">
499.    
500.        <style>
501.  
502. :root {
503. --icp-body-top-three-button-background: #478ac6;
504.  
505. }
506.  
507. </style>
508.                    <h2 class="icp-list-headline">Featured Partners: Sales Software</h2>
509.        
510.        <div class="row">
511.                                            <div class="icp-list-item item">
512.                                            <p class="icp-list-item-logo">
513.                            <a href="https://link.technologyadvice.com/af77fb39-ac33-49b9-94c8-f15c346eeef5?country=US&targeting_set_uuid=50a4520c-9ba1-4615-94e5-82cbbe30d3ab&position=1&placement=body&layout=top3&source=https%3A%2F%2Fwww.eweek.com%2Ffeed&auid=896a2b41-592b-4110-80be-c9dd8c503ac1&" rel="nofollow sponsored" target="_blank" class="icp-list-link"><img decoding="async" class="icp-list-image" src="https://ta-relay-public-files-prod.s3.us-east-2.amazonaws.com/icp/product_images/d744194f414f8bc570f4f31f11fae5a0.png" alt="Fireberry" border="0"></a>                        </p>
514.                                                                                        <p class="icp-list-item-cta">
515.                            <a href="https://link.technologyadvice.com/af77fb39-ac33-49b9-94c8-f15c346eeef5?country=US&targeting_set_uuid=50a4520c-9ba1-4615-94e5-82cbbe30d3ab&position=1&placement=body&layout=top3&source=https%3A%2F%2Fwww.eweek.com%2Ffeed&auid=896a2b41-592b-4110-80be-c9dd8c503ac1&" rel="nofollow sponsored" target="_blank" class="icp-list-link">Learn More</a>                        </p>
516.                                    </div>
517.                                            <div class="icp-list-item item">
518.                                            <p class="icp-list-item-logo">
519.                            <a href="https://link.technologyadvice.com/d78baa88-370c-4b0a-904f-91bfdca4ae57?country=US&targeting_set_uuid=608c61f6-8c48-4da7-a041-e1e764d1c20d&position=2&placement=body&layout=top3&source=https%3A%2F%2Fwww.eweek.com%2Ffeed&auid=896a2b41-592b-4110-80be-c9dd8c503ac1&" rel="nofollow sponsored" target="_blank" class="icp-list-link"><img decoding="async" class="icp-list-image" src="https://ta-relay-public-files-prod.s3.us-east-2.amazonaws.com/icp/product_images/ea892ca4f3e0318f3134a4c32af06da9.png" alt="CrankWheel" border="0"></a>                        </p>
520.                                                                                        <p class="icp-list-item-cta">
521.                            <a href="https://link.technologyadvice.com/d78baa88-370c-4b0a-904f-91bfdca4ae57?country=US&targeting_set_uuid=608c61f6-8c48-4da7-a041-e1e764d1c20d&position=2&placement=body&layout=top3&source=https%3A%2F%2Fwww.eweek.com%2Ffeed&auid=896a2b41-592b-4110-80be-c9dd8c503ac1&" rel="nofollow sponsored" target="_blank" class="icp-list-link">Learn More</a>                        </p>
522.                                    </div>
523.                    </div>
524.  
525.  
526.    </div>
527. <!-- ICP Plugin: End -->
528. <h2><strong>AI in Sales: Top Strategies</strong></h2>
529. <p>There is a wide – and growing – array of strategies for leveraging <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/" target="_blank" rel="noopener">artificial intelligence</a> in sales, ranging from researching the best tools to monitoring the success of your campaigns.</p>
530. <h3><strong>Identify Sales Goals and Challenges</strong></h3>
531. <p>To effectively integrate artificial intelligence into sales, it&#8217;s crucial to first identify specific goals and challenges. AI can significantly impact areas such as <a href="https://www.eweek.com/artificial-intelligence/ai-lead-generation-software/">lead generation</a>, <a href="https://www.eweek.com/artificial-intelligence/ai-crm-use-cases/">customer relationship management</a>, and sales forecasting.</p>
532. <p>Pinpointing where AI can be most beneficial allows organizations to tailor their AI implementations to address particular pain points, enhance efficiencies, and drive revenue growth. This strategic alignment ensures that <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">AI tools</a> are deployed in a way that directly supports overarching business objectives.</p>
533. <p>To start, conduct a detailed analysis of your current sales metrics and processes. Engage with your sales team for their insights on challenges and bottlenecks, and use advanced analytics to track and identify patterns that could benefit from automation or enhanced analytics.</p>
534. <h3><strong>Research and Select AI Tools</strong></h3>
535. <p>Once goals are established, the next step is to research and select the right AI tools. You can approach this by making a checklist of features and functionalities that are crucial for your sales processes and comparing how different AI tools stack up against this list. Also, consider the long-term scalability and support options of these tools to ensure they grow with your business needs.</p>
536. <p>Tools like Crayon for competitive intelligence or Salesforce for customer relationship management offer various features adapted to a variety of sales needs. Evaluate <a href="https://www.eweek.com/artificial-intelligence/ai-sales-tools/" target="_blank" rel="noopener">AI sales tools</a> based on their ability to meet your sales challenges, integration capabilities with existing systems, user-friendliness, and scalability. Choosing the right tools gives you a higher chance of succeeding at your AI sales initiatives.</p>
537. <p><img decoding="async" class="aligncenter wp-image-224524" src="https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-crayon-300x173.jpg" alt="Al in sales: Crayon" width="716" height="413" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-crayon-300x173.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-crayon-1024x590.jpg 1024w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-crayon-768x443.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-crayon-696x401.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-crayon-1068x616.jpg 1068w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-crayon-728x420.jpg 728w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-crayon.jpg 1259w" sizes="(max-width: 716px) 100vw, 716px" /></p>
538. <p><em>As you research AI sales tools, you&#8217;ll encounter a broad array of tools that accomplish many tasks. Finding the best tool for your needs often requires trying a demo version. Image: a dashboard in Crayon Sales. </em></p>
539. <h3><strong>Integrate AI Tools into Your Sales Strategy</strong></h3>
540. <p>Integrating AI tools into your sales strategy involves more than just technical installation. It requires aligning the AI capabilities with sales processes to enhance decision-making and operational efficiency.</p>
541. <p>You’ll have to configure AI tools to optimize data inputs, set up dashboards for real-time insights, or automate routine tasks to free up sales representatives for more complex interactions. You can begin integration by setting up the AI tools to automate data entry tasks and generate predictive analytics for processes like lead scoring. This can also involve customizing the user interfaces and dashboards to ensure they are intuitive for your sales team for a smooth transition and immediate uptake.</p>
542. <p>Proper integration means that AI tools will complement existing workflows and enhance productivity without disrupting these existing systems.</p>
543. <p><em><strong>To gain a deeper understanding of today&#8217;s AI software for sales, read our guide to <a href="https://www.eweek.com/artificial-intelligence/ai-sales-tools/">AI Sales Tools and Software</a></strong></em></p>
544. <h3><strong>Train Your Team on AI Tools</strong></h3>
545. <p>To maximize the benefits of AI in sales, comprehensive training for the sales team on the new tools is crucial. This training should cover how to use the AI tools effectively, understand the insights they provide, and apply these insights to daily sales activities. Training empowers sales representatives to leverage AI capabilities fully, enhancing their productivity and enabling them to make data-driven decisions.</p>
546. <p>The most effective approach to training is to develop a comprehensive training program that includes hands-on workshops, interactive simulations, and regular follow-up sessions. Focus the training on practical applications of the AI tools in daily sales activities to help your team understand and leverage their full capabilities. Schedule regular training sessions and provide resources for self-learning to ensure ongoing skill development.</p>
547. <p>Finally, encourage your team to experiment with different features and to provide feedback on their experiences, which can be used to further tailor the training program.</p>
548. <h3><strong>Monitor and Optimize AI-Driven Sales Processes</strong></h3>
549. <p>After implementing AI tools, continuously monitoring their performance and impact on sales processes is vital. Track metrics such as engagement rates, conversion rates, and overall sales growth. Insights gained from these metrics can help identify areas where AI tools are succeeding or where further optimization is needed.</p>
550. <p>Regularly refining AI configurations and functionalities based on real-time data and feedback ensures that the sales strategies stay effective and on par with changing market dynamics.</p>
551. <p>Where adjustment is necessary, you can adjust your <a href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/">AI strategies</a> based on ongoing feedback to optimize tool performance and ensure they are meeting the evolving needs of not only your sales team but also your customers. This dynamism will help to sustain the effectiveness of your AI integrations and support consistent sales success.</p>
552. <h3><strong>Leverage AI for Enhanced Customer Personalization</strong></h3>
553. <p>Consider doubling down on AI for enhanced customer personalization. AI can analyze customer data and behavior to create highly personalized interactions and offers in a fraction of the time and with greater accuracy compared to any human agent. The approach here involves implementing AI-driven analytics to segment customers based on their behavior and preferences.</p>
554. <p>Take advantage of this segmentation to tailor marketing and sales strategies that resonate with each segment. And continuously update the data inputs to keep the personalization relevant and effective. From this, you stand to significantly improve customer satisfaction and loyalty, as well as have the opportunity to stand out in a competitive market and drive increased sales and customer retention.</p>
555. <p><em><strong>To learn about AI for customer relationship management, read our guide: <a href="https://www.eweek.com/artificial-intelligence/ai-crm/">Top 8 AI CRM Software </a></strong></em></p>
556. <h2><strong>Deep Dive: Understanding AI&#8217;s Advantages in Sales</strong></h2>
557. <p>Before fully developing your AI sales approach, it&#8217;s helpful to get an overview of how AI can be used in sales – and the many advantages it offers over legacy sales techniques.</p>
558. <h3><strong>Enhancing Customer Interactions</strong></h3>
559. <p>AI significantly enhances customer interactions by analyzing data to provide forecasts, optimize lead scoring, and improve engagement. By integrating AI, sales teams can identify which leads have the highest conversion potential and tailor their approach to meet the unique needs of each prospect.</p>
560. <p>For instance, AI-driven analytics can predict customer preferences and behaviors, which in turn directs sales teams on how to offer personalized recommendations and solutions that resonate more effectively with each customer.</p>
561. <p>Moreover, generative AI has opened new avenues for enhancing customer communications. These AI systems can generate personalized email content, chat responses, and even recommend new sales strategies based on evolving data patterns.</p>
562. <p>Additionally, <a href="https://www.eweek.com/artificial-intelligence/what-is-generative-ai/">generative AI</a> is learning and evolving daily, to the point where it’s getting harder to distinguish whether you’re interacting with a person or AI. The perks of this level of personalization are the improved customer satisfaction and increased sales that result from making interactions more relevant and timely.</p>
563. <h3><strong>Streamlining Sales Operations</strong></h3>
564. <p>AI streamlines sales operations by automating routine tasks, allowing sales teams to focus more on strategic activities.</p>
565. <p>For example, AI can automate the qualification and follow-up processes, which then ensures that sales staff spend their time engaging with leads most likely to convert. Further, AI can optimize scheduling and workflow management for less downtime and greater efficiency of sales operations.</p>
566. <p>In addition to routine automation, another approach to streamlining operations is through generative AI. It enables the generation of highly engaging and contextually appropriate sales presentations, proposals, and promotional materials for specific customer profiles. This capability not only enhances the quality of materials sales teams have at their disposal but also significantly cuts down the time they spend creating these materials.</p>
567. <h3><strong>Optimizing Pricing Strategies with AI</strong></h3>
568. <p>AI also plays a crucial role in optimizing pricing strategies, which of course has a significant impact on sales outcomes. By analyzing historical sales data, competitor pricing, and market trends, AI models can recommend pricing strategies that maximize profitability and market share.</p>
569. <p>Here’s basic insight into how it works: AI-driven pricing tools analyze vast amounts of market and internal data to identify optimal pricing points. These tools can help predict how changes in pricing could affect sales volume and revenue, which allows businesses to proactively adjust their strategies in real-time based on predictive analytics.</p>
570. <p>Such AI-driven insights help sales teams make informed decisions about when to adjust prices, launch promotions, or offer discounts since pricing strategies need to always be competitive, in line with overall business goals and in touch with the market.</p>
571. <p><em><strong>To see a list of the leading generative AI apps, read our guide: <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">Top 20 Generative AI Tools and Apps 2024</a></strong></em></p>
572. <h2><strong>Navigating the Challenges of AI in Sales</strong></h2>
573. <p>As transformative as it is, adopting AI in sales presents several challenges that businesses must navigate to reap the full advantages. These concerns range from data quality issues to major ethical concerns.</p>
574. <h3><strong>Data Quality and Integration Issues</strong></h3>
575. <p>One of the primary challenges in implementing AI in sales is the quality and integration of data. AI systems must be fed high-quality, comprehensive data if they are to function effectively. Poor data quality or issues with data integration can lead to inaccurate AI predictions and recommendations, potentially shooting down sales efforts rather than helping them.</p>
576. <p>To overcome this challenge, companies need to invest in robust <a href="https://www.eweek.com/big-data-and-analytics/data-governance/">data governance</a> practices. This includes regular audits of data accuracy, consistency, and completeness. Additionally, ensuring seamless integration of AI tools with existing CRM systems and data warehouses is crucial. Businesses may need to upgrade their infrastructure or employ middleware solutions to facilitate effective data integration and real-time analytics.</p>
577. <h3><strong>Overcoming Resistance to Change</strong></h3>
578. <p>Another significant barrier is the resistance to change within organizations, particularly from sales teams that may feel threatened by AI automation. The fear that AI might replace jobs or undermine the value of human input can fuel reluctance in adopting new technologies.</p>
579. <p>Clear communication about the benefits and goals of AI implementation is key here. Training programs and workshops that demonstrate how AI tools augment sales capabilities rather than replace them can help in mitigating these concerns. Involving sales teams in the decision-making process regarding AI tool selection and implementation strategies can also foster a sense of ownership and acceptance.</p>
580. <h3><strong>Ethical and Privacy Concerns</strong></h3>
581. <p>The use of AI in sales also raises ethical and privacy concerns, particularly related to customer data. Misuse of AI tools can lead to breaches of customer privacy and potential legal issues.</p>
582. <p>Therefore, It’s imperative for businesses to adhere strictly to data protection regulations such as GDPR and CCPA when implementing AI in sales. This includes obtaining necessary consents for data collection and use, ensuring transparency in how AI algorithms utilize customer data, and implementing strong cybersecurity measures to protect the integrity of data.</p>
583. <p><em><b style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">For more information about generative AI providers, read our in-depth guide: </b><a style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=generative-ai-companies-top-12-leaders"><b>Generative AI Companies: Top 20 Leaders</b></a></em></p>
584. <h2><strong>AI in Sales: Use Case Examples</strong></h2>
585. <p>Real-world applications of AI have significantly impacted how sales processes are conducted across various industries. Here&#8217;s how companies are successfully integrating AI into their sales operations.</p>
586. <h3><strong>Sales Forecasting</strong></h3>
587. <p>Companies like IBM and Walmart are utilizing AI to enhance their sales forecasting capabilities. By leveraging machine learning models, these companies analyze historical sales data, seasonal trends, and consumer behavior to predict future sales with high accuracy. This predictive capability allows them to optimize inventory management and allocate resources more effectively.</p>
588. <h3><strong>Summaries and Action Items</strong></h3>
589. <p>AI tools are being used to automatically summarize key points and action items from sales meetings and calls. Tools like AssemblyAI offer video and call summarization features that help sales teams quickly understand customer needs and follow up effectively.</p>
590. <h3><strong>Analyze Sales Calls</strong></h3>
591. <p>Tools like Gong and Chorus.ai analyze sales calls to provide insights into customer interactions. These platforms use AI to identify patterns, suggest improvements, and even offer real-time guidance to sales reps during calls. This analysis helps refine sales techniques and improve overall sales performance.</p>
592. <h3><strong>Recommend Next Actions for Sales Reps</strong></h3>
593. <p>AI is increasingly being used to recommend next best actions for sales reps. This includes suggesting follow-up tasks, identifying upsell opportunities, and advising on deal closure strategies based on predictive analytics. For instance, companies like Verix provide platforms that enhance commercial operations with AI-driven insights, boosting sales outcomes in industries like pharmaceuticals.</p>
594. <h3><strong>Generate Sales Emails and Subject Lines</strong></h3>
595. <p>Generative AI platforms are now commonly used to craft compelling sales emails and subject lines that are more likely to capture the attention of prospects. Tools like OpenAI’s GPT models are trained to generate engaging and contextually relevant content, which can raise open rates and conversions.</p>
596. <h3><strong>Access to Advanced Data Operations</strong></h3>
597. <p>Companies are using AI more and more to access advanced data enrichment and analysis to understand their market better and refine their sales strategies. <a href="https://www.eweek.com/artificial-intelligence/how-salesforce-drives-business-through-ai/">Salesforce Einstein</a>, for example, uses AI to enhance customer data by appending it with publicly available information and insights generated from behavioral data, providing sales teams with a richer, more comprehensive view of their customers.</p>
598. <h3><strong>AI-Powered Conversation Intelligence</strong></h3>
599. <p>AI-powered conversation intelligence tools like Chorus.ai and Gong.io are transforming sales by analyzing sales call recordings and providing actionable insights. These tools transcribe calls, pinpoint key moments, and analyze the effectiveness of sales pitches, helping sales teams improve their communication strategies and ultimately close more deals.</p>
600. <h3><strong>Automated Sales Enablement</strong></h3>
601. <p>AI is used in sales enablement to automate content delivery and training. Seismic, a leading sales enablement platform, uses AI to automatically recommend the most effective content to sales reps based on specific deals, ensuring that they are always equipped with the most relevant and impactful sales materials.</p>
602. <h3><strong>Better Pipeline Management and Forecasting</strong></h3>
603. <p>AI tools are critical to improving pipeline management and forecasting accuracy. For instance, Clari uses AI to analyze sales pipeline data and predict which deals are most likely to close, allowing sales teams to focus their efforts where they are needed most and adjust their strategies to maximize outcomes.</p>
604. <h3><strong>Optimization of Sales Engagement</strong></h3>
605. <p>AI is being leveraged to streamline and optimize sales engagement processes. HubSpot’s AI functionalities, for instance, help businesses automate lead prioritization and email scheduling, ensuring that engagement efforts are timed perfectly to maximize response rates and engagement success.</p>
606. <h2><strong>The Future of AI in Sales: Innovations and Trends</strong></h2>
607. <p>The future of AI in sales is being created even as you read this – the sector is growing at an exponential rate. From the benefits of hyperpersonalization to the remarkable advances in generative AI, the future of AI in sales may even have a sci-fi aspect to it.</p>
608. <h3><strong>AI-Driven Hyperpersonalization</strong></h3>
609. <p>The trend of AI-driven hyperpersonalization in sales utilizes <a href="https://www.eweek.com/enterprise-apps/deep-learning/">deep learning</a> algorithms to analyze detailed customer data and enable businesses to deliver highly personalized customer experiences. These AI systems can predict purchasing behaviors, personal preferences, and even sentiments based on customer interactions, allowing for tailored offers and communications.</p>
610. <p>This technology is extensively utilized in industries such as retail and e-commerce, where businesses like Amazon and Netflix have pioneered its use to recommend products or content based on individual user behaviors and preferences. Such systems analyze past purchases, browsing histories, and even customer interactions to tailor offers and communications.</p>
611. <p>In the near future, we can expect hyperpersonalization to extend to real-time adaptive interactions where AI can instantly adjust offers and content based on immediate customer behaviors or environmental factors such as time of day or current events. This will enhance the customer experience, increasing both engagement and loyalty, and is expected to become a standard practice in industries ranging from e-commerce to B2B sectors.</p>
612. <h3><strong>AI Optimization of Sales Processes</strong></h3>
613. <p>AI is streamlining sales operations by automating routine tasks and optimizing the sales funnel. Current <a href="https://www.eweek.com/artificial-intelligence/ai-software/">AI software</a> handle everything from lead scoring to customer segmentation and are poised to expand further, potentially managing end-to-end sales processes without human intervention.</p>
614. <p>In sectors such as automotive and financial services, companies are deploying AI to automate lead qualification, customer segmentation, and even direct customer communications, which significantly enhances operational efficiency. For instance, AI tools like Salesforce and HubSpot are not only streamlining these processes but also providing actionable insights that improve decision-making. This technology has led to faster sales cycles and more effective resource allocation.</p>
615. <p>Going forward, it wouldn’t be a surprise to see AI integrating deeper into sales platforms, providing real-time analytics and more accurate predictive insights that will make sales strategies much more successful and preemptively adjust them based on predicted market changes.</p>
616. <p><img decoding="async" class="aligncenter wp-image-224525" src="https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce-300x211.jpg" alt="AI optimization " width="653" height="459" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce-300x211.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce-1024x720.jpg 1024w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce-768x540.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce-696x489.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce-1068x751.jpg 1068w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce-598x420.jpg 598w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce-100x70.jpg 100w, https://www.eweek.com/wp-content/uploads/2024/04/ai-in-sales-salesforce.jpg 1104w" sizes="(max-width: 653px) 100vw, 653px" /></p>
617. <p><em>A dashboard in Salesforce that handles opportunity management, including suggestions to answer all client questions and inquire about discounts. </em></p>
618. <h3><strong>Generative AI in Sales Content Creation</strong></h3>
619. <p>Generative AI is making significant strides in automating the creation of personalized marketing materials. Marketing departments in industries such as fashion and consumer goods are increasingly relying on generative AI to produce tailored content that resonates with diverse consumer groups.</p>
620. <p>For example, generative AI tools are being used to craft unique promotional emails, social media posts, and even personalized video content at scale, which has proven to drive higher engagement rates and strengthen brand loyalty.</p>
621. <p>A notable tool is OpenAI’s Sora, a tool for generating text-to-video content that is set to instantly enable sales and marketing teams to create dynamic visual content that directly appeals to individual customer preferences and behaviors. Looking forward, generative AI is expected to become more sophisticated, with capabilities extending to creating interactive content that can adapt based on customer interactions in real time. This will make marketing efforts more engaging and so much more responsive, potentially increasing conversion rates and enhancing customer relationships.</p>
622. <p><img decoding="async" class="aligncenter wp-image-224526" src="https://www.eweek.com/wp-content/uploads/2024/04/ai-sales-sora-300x172.jpg" alt="Al in sales content creation" width="724" height="415" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ai-sales-sora-300x172.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ai-sales-sora-1024x586.jpg 1024w, https://www.eweek.com/wp-content/uploads/2024/04/ai-sales-sora-768x440.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ai-sales-sora-696x399.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ai-sales-sora-1068x612.jpg 1068w, https://www.eweek.com/wp-content/uploads/2024/04/ai-sales-sora-733x420.jpg 733w, https://www.eweek.com/wp-content/uploads/2024/04/ai-sales-sora.jpg 1135w" sizes="(max-width: 724px) 100vw, 724px" /></p>
623. <p><em><span style="font-weight: 400;">This image from the generative AI program Sora is an example of how AI tools can easily create engaging content for sales purposes. </span></em></p>
624. <h3><strong>AI in Sales Forecasting</strong></h3>
625. <p>Currently used across various industries, from retail to manufacturing, AI forecasting models analyze vast amounts of data, including past sales, market conditions, and even consumer behavior, to provide precise predictions that help businesses plan more effectively.</p>
626. <p>Today, we see AI platforms like Gong utilize predictive analytics to provide detailed insights into revenue forecasting by analyzing buying signals across sales pipelines. Retail giants like Walmart and online marketplaces leverage AI to optimize inventory management based on predicted consumer demands, significantly reducing wastage and improving profitability.</p>
627. <p>Based on the above, the expectation is that in the near future, AI in sales forecasting will adopt even more sophisticated <a href="https://www.eweek.com/big-data-and-analytics/machine-learning/">machine learning</a> models that predict sales outcomes as well as provide prescriptive recommendations on how to achieve optimal results. These advancements will enable businesses to not only forecast future trends but also dynamically adjust their strategies in real-time based on AI-driven insights. It will make them more responsive to market changes and improve overall business agility.</p>
628. <h2><strong>Will AI Replace Sales Jobs?</strong></h2>
629. <p>The integration of AI into sales is transforming traditional roles as AI&#8217;s ability to automate routine tasks such as lead scoring, customer segmentation, and ad content creation is undeniable.</p>
630. <p>Companies like Google are already implementing AI to take over these types of jobs, indicating a trend towards automation of certain sales functions. For example, AI tools have been used to automate responses to RFPs, a time-consuming task that can now be handled more efficiently by machines.</p>
631. <p>However, rather than solely replacing jobs, AI is also enhancing the roles of sales professionals. By automating the more mundane aspects of the job, AI allows salespeople to focus on higher-level tasks such as relationship building and strategic planning. This shift may even be seen as positive among sales professionals, who would appreciate the increased efficiency and the ability to focus on more impactful aspects of their work.</p>
632. <p>However, as AI continues to evolve and become more competent at tasks of increasing complexity, the future of AI in sales may be a mix of both job displacement and augmentation. While some roles may diminish as AI takes over routine and administrative tasks, new opportunities are emerging for sales professionals who can leverage AI to enhance their strategic capabilities. The key challenge will be adapting to these changes by upskilling and integrating new technologies to make sales roles more strategic and impactful.</p>
633. <p>Based on the evolution of AI that we’ve seen through the years, it&#8217;s not likely we will face an undeniably disruptive version of AI that can completely cut out human labor from sales processes. It’s more realistic to expect a technology-driven sales environment where AI complements human skills, rather than replacing them entirely.</p>
634. <h2><strong>3 Popular AI Tools for Sales</strong></h2>
635. <p><img decoding="async" class="wp-image-222331 alignright" src="https://www.eweek.com/wp-content/uploads/2023/05/salesforce-icon.png" alt="Salesforce icon." width="150" height="150" srcset="https://www.eweek.com/wp-content/uploads/2023/05/salesforce-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/salesforce-icon-150x150.png 150w" sizes="(max-width: 150px) 100vw, 150px" /></p>
636. <h3><strong>Salesforce Sales Cloud</strong></h3>
637. <p>Salesforce Sales Cloud provides an integrated platform that offers both CRM and AI capabilities. It allows sales teams to manage customer interactions more efficiently and gain insights that drive smarter, data-driven decisions. The use of Salesforce&#8217;s AI component, Einstein, helps in automating tasks such as data entry and lead scoring and offers predictive insights that improve customer engagement strategies.</p>
638. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
639. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/salesforce-sales-cloud-ew-how-to-use-ai-in-sales" target="_blank" rel="noopener nofollow sponsored">Visit Salesforce</a></div>
640. </div>
641. <p><img decoding="async" class="wp-image-223722 alignright" src="https://www.eweek.com/wp-content/uploads/2024/01/hubspot-icon.png" alt="HubSpot icon." width="150" height="150" srcset="https://www.eweek.com/wp-content/uploads/2024/01/hubspot-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/01/hubspot-icon-150x150.png 150w" sizes="(max-width: 150px) 100vw, 150px" /></p>
642. <h3><strong>HubSpot Sales Hub</strong></h3>
643. <p>HubSpot Sales Hub offers a comprehensive suite of tools that includes CRM, sales engagement tools, and powerful analytics. This platform is designed to supercharge sales processes by providing everything sales teams need to manage their pipelines, connect with customers, and close deals more effectively. HubSpot&#8217;s integration of AI enhances these capabilities by automating tasks and providing detailed analytics to refine sales strategies, which yields better alignment and increased sales efficiency.</p>
644. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
645. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/hubspot-sales-hub-ew-how-to-use-ai-in-sales" target="_blank" rel="noopener nofollow sponsored">Visit HubSpot</a></div>
646. </div>
647. <p><img decoding="async" class="wp-image-223790 alignright" src="https://www.eweek.com/wp-content/uploads/2024/01/apollo_io-icon.png" alt="Apollo.io icon." width="150" height="150" srcset="https://www.eweek.com/wp-content/uploads/2024/01/apollo_io-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/01/apollo_io-icon-150x150.png 150w" sizes="(max-width: 150px) 100vw, 150px" /></p>
648. <h3><strong>Apollo.io</strong></h3>
649. <p>Apollo.io serves as an all-in-one sales intelligence platform that significantly impacts how companies prospect, engage, and drive revenue. With its AI-driven insights, Apollo.io helps sales teams streamline their engagement processes and improve their outreach strategies. The platform&#8217;s ability to enrich data and provide actionable intelligence allows sales professionals to target the right prospects effectively and close deals faster.</p>
650. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
651. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/apollo-io-ew-how-to-use-ai-in-sales" target="_blank" rel="noopener nofollow sponsored">Visit Apollo.io</a></div>
652. </div>
653. <h2><strong>Frequently Asked Questions (FAQs)</strong></h2>
654. <h3><strong>How is Generative AI Used in Sales?</strong></h3>
655. <p>Generative AI is used in sales through automated content creation and providing data-driven insights. It can be used to create personalized emails, generate engaging content for marketing campaigns, and even develop sales scripts that are tailored to individual customer interactions. Companies like Salesforce utilize generative AI to drive personalization at scale.</p>
656. <h3><strong>What is the AI Strategy for Sales and Marketing?</strong></h3>
657. <p>An effective AI strategy for sales and marketing involves integrating AI tools that can analyze large volumes of data to provide insights, predict customer behaviors, and automate tasks. The strategy should focus on enhancing customer engagement, improving lead generation, and optimizing marketing campaigns through predictive analytics and machine learning. Tools like HubSpot and Marketo offer AI functionalities that assist in these areas by automating campaign management and providing actionable insights to sales teams.</p>
658. <h3><strong>What is Generative AI for B2B Sales?</strong></h3>
659. <p>Generative AI for B2B sales focuses on creating personalized customer experiences and streamlining the sales process by generating high-quality content tailored to business clients. This includes crafting personalized emails and proposals and even creating reports that are specific to the needs of B2B clients.</p>
660. <h3><strong>Is AI the Future of Sales?</strong></h3>
661. <p>In short, yes. AI is increasingly being recognized as the future of sales due to its ability to streamline operations, enhance decision-making, and improve customer relationships through more personalized interactions.</p>
662. <p>AI&#8217;s role in sales is expanding as technologies become more sophisticated, allowing for greater automation and more accurate predictions of customer behavior. This shift is enabling sales teams to focus more on strategy and relationship building, while AI handles data-driven tasks, making the sales process more efficient and effective.</p>
663. <h2><strong>Bottom Line: Using AI in Sales Creates Opportunities</strong></h2>
664. <p>Integrating AI into sales brings endless opportunities for digital transformation to reshape the landscape of customer engagement and operational efficiency. By using AI, sales teams are not only enhancing their ability to understand customer needs but are also streamlining their sales processes, from lead generation to closing deals.</p>
665. <p>As AI technology continues to evolve, it’s looking likely to take a bigger role in driving sales innovation. And the sooner we learn how to take advantage of this technology instead of rivaling it, the faster we’ll reap its full benefits.</p>
666. <p><em><strong>For a full portrait of the AI vendors serving a wide array of business needs, read our in-depth guide: <a href="https://www.eweek.com/artificial-intelligence/ai-companies/">150+ Top AI Companies 2024</a></strong></em></p>
667. <p>The post <a href="https://www.eweek.com/artificial-intelligence/how-to-use-ai-in-sales/">How to Use AI in Sales: Top Strategies, Examples, and Tools</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
668. ]]></content:encoded>
672. </item>
673. <item>
674. <title>Creating a Winning AI Business Strategy: 8 Steps</title>
675. <link>https://www.eweek.com/artificial-intelligence/ai-business-strategy/</link>
677. <dc:creator><![CDATA[Shelby Hiter]]></dc:creator>
678. <pubDate>Tue, 23 Apr 2024 21:39:22 +0000</pubDate>
679. <category><![CDATA[Artificial Intelligence]]></category>
680. <category><![CDATA[Latest News]]></category>
681. <category><![CDATA[ai business strategy]]></category>
682. <category><![CDATA[AI business use cases]]></category>
683. <category><![CDATA[artificial intelligence]]></category>
684. <guid isPermaLink="false">https://www.eweek.com/?p=224515</guid>
685.  
686. <description><![CDATA[<p>Developing a competitive artificial intelligence business strategy has quickly become an essential leadership strategy as AI has grown into an indispensable business tool. Businesses from all different industries are incorporating new enterprise AI use cases in their workflows to improve products and disrupt their respective industries. To keep up with the competition, business leaders need [&#8230;]</p>
687. <p>The post <a href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/">Creating a Winning AI Business Strategy: 8 Steps</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
688. ]]></description>
689. <content:encoded><![CDATA[<p>Developing a competitive artificial intelligence business strategy has quickly become an essential leadership strategy as AI has grown into an indispensable business tool.</p>
690. <p><span style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">Businesses from all different industries are incorporating new enterprise AI use cases in their workflows to improve products and disrupt their respective industries. </span>To keep up with the competition, business leaders need to develop an AI business strategy that addresses their unique business model while helping them keep pace with industry-wide digital transformations.</p>
691. <p>In this guide, we’ll walk you through eight key steps of crafting a top AI business strategy. We’ll also cover some of the greatest benefits and biggest challenges that come with adopting AI as part of your business’s operational framework.</p>
692. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
693. <p class="ez-toc-title">TABLE OF CONTENTS</p>
694. <label for="ez-toc-cssicon-toggle-item-662b2c090d6fa" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c090d6fa"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#1-identify-current-performance-and-technology-gaps" title="1. Identify Current Performance and Technology Gaps">1. Identify Current Performance and Technology Gaps</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#2-research-the-ai-technology-and-services-landscape" title="2. Research the AI Technology and Services Landscape">2. Research the AI Technology and Services Landscape</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#3-set-smart-goals-for-ai-adoption" title="3. Set SMART Goals for AI Adoption">3. Set SMART Goals for AI Adoption</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#4-partner-with-strategic-ai-vendors" title="4. Partner With Strategic AI Vendors">4. Partner With Strategic AI Vendors</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#5-develop-and-follow-an-ai-implementation-plan" title="5. Develop and Follow an AI Implementation Plan">5. Develop and Follow an AI Implementation Plan</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#6-create-cross-functional-ai-training-and-change-management-programs" title="6. Create Cross-Functional AI Training and Change Management Programs">6. Create Cross-Functional AI Training and Change Management Programs</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#7-track-ai-performance-metrics" title="7. Track AI Performance Metrics">7. Track AI Performance Metrics</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-8" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#8-adjust-ai-solutions-and-plans-periodically" title="8. Adjust AI Solutions and Plans Periodically">8. Adjust AI Solutions and Plans Periodically</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-9" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#7-benefits-of-ai-business-strategy-planning" title="7 Benefits of AI Business Strategy Planning">7 Benefits of AI Business Strategy Planning</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-10" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#7-common-challenges-of-ai-business-strategy-planning" title="7 Common Challenges of AI Business Strategy Planning">7 Common Challenges of AI Business Strategy Planning</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-11" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#frequently-asked-questions-faqs" title="Frequently Asked Questions (FAQs)">Frequently Asked Questions (FAQs)</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-12" href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/#bottom-line-developing-an-ai-business-strategy-that-works-for-you" title="Bottom Line: Developing an AI Business Strategy That Works for You">Bottom Line: Developing an AI Business Strategy That Works for You</a></li></ul></nav></div>
695.  
696. <h2><strong>1. Identify Current Performance and Technology Gaps</strong></h2>
697. <p><a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/">Artificial intelligence</a> tools and strategies can be infused throughout your business operations, but chances are, there are a few key areas where AI will make the highest-value impact in your organization.</p>
698. <p>To determine where these gaps are, start by looking at your legacy tools and applications, as well as any performance data or support tickets that indicate recurring problems with those systems. Additionally, assess the size and quality of different departments and teams, paying close attention to any resources they’re missing that would make their work more efficient.</p>
699. <p>Finally, look at things from the investors’ or customers’ perspective and ask this question: What current performance gaps are impacting their experience or the bottom line?</p>
700. <p>Asking these questions, completing a deep audit of your current resources and processes, and documenting your most crucial gaps is an important first step toward determining which AI solutions, partners, and investments are most strategic for your business.</p>
701. <p><img decoding="async" class="aligncenter wp-image-224522" src="https://www.eweek.com/wp-content/uploads/2024/04/ai-business-strategy-300x200.jpg" alt="AI business strategy chart" width="710" height="473" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ai-business-strategy-300x200.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ai-business-strategy-768x511.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ai-business-strategy-696x463.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ai-business-strategy-631x420.jpg 631w, https://www.eweek.com/wp-content/uploads/2024/04/ai-business-strategy.jpg 996w" sizes="(max-width: 710px) 100vw, 710px" /></p>
702. <p><em>To develop a plan to improve performance, it&#8217;s critical to create metrics. The chart above illustrates the various metrics that can be used to estimate the ROI of an AI investment. Source: Gartner</em></p>
703. <h2><strong>2. Research the AI Technology and Services Landscape</strong></h2>
704. <p>Once you’ve decided which areas of your business could most benefit from AI tooling and strategy, it’s time to look at the AI technology landscape and what it has to offer.</p>
705. <p>Depending on your internal skill sets and budget, you may choose to invest in:</p>
706. <ul>
707. <li>A <a href="https://www.eweek.com/artificial-intelligence/free-ai-tools/" target="_blank" rel="noopener">free AI tool</a>, an open-source solution, or a fine-tuned existing AI model</li>
708. <li>A managed large language model</li>
709. <li>Or even build your own <a href="https://www.eweek.com/artificial-intelligence/generative-ai-vs-ai/" target="_blank" rel="noopener">generative model</a> (though this is a particularly resource-intensive and expensive approach)</li>
710. </ul>
711. <p>There’s also a wide range of prebuilt AI tools that won’t require you to adjust any <a href="https://www.eweek.com/big-data-and-analytics/ai-vs-deep-learning/" target="_blank" rel="noopener">deep learning</a> algorithms or training data. Instead, you’ll simply work with the vendor or their platform to adjust the AI to your specific needs. You’ll also need to determine if you want to invest in more generic AI solutions — such as chatbots, copilots, and AI automation tools — or if you’re interested in a more specialized solution that is designed for your industry or a <a href="https://www.eweek.com/artificial-intelligence/generative-ai-enterprise-use-cases/" target="_blank" rel="noopener">enterprise specific use case</a>.</p>
712. <p>All of these approaches are valid but may not be the best route for your business. To make the best possible investment, spend some time researching <a href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/">leading AI vendors</a>, big and small, assessing their individual products, longterm roadmaps and goals, and the additional resources they provide to support their customers.</p>
713. <p>It’s also valuable to look at customer reviews on third-party review sites, ratings from technology research firms, and the investors that are currently backing some of these technologies. Through each of these portions of your research, return to this question: Does what I’ve learned about this vendor, product, or service align with our business’s goals and way of doing things?</p>
714. <figure id="attachment_224517" aria-describedby="caption-attachment-224517" style="width: 1000px" class="wp-caption alignnone"><img decoding="async" class="wp-image-224517 size-full" src="https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_a.jpg" alt="Hugging Face interface." width="1000" height="456" srcset="https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_a.jpg 1000w, https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_a-300x137.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_a-768x350.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_a-696x317.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_a-921x420.jpg 921w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption id="caption-attachment-224517" class="wp-caption-text">Open-source AI models, like those offered through Hugging Face, are an affordable and customizable AI tooling option for the right business users. Source: Hugging Face.</figcaption></figure>
715. <h2><strong>3. Set SMART Goals for AI Adoption</strong></h2>
716. <p>You’ll likely have a basic idea of your AI adoption goals and desired outcomes at this point, but you’ll stand the best chance of reaching those goals if you spell them out. There are several different ways to do this, but SMART goals provide a straightforward and highly objective way to measure how well you’re staying on track.</p>
717. <p>SMART goals are:</p>
718. <ul>
719. <li><strong>Specific:</strong> The goal should very clearly state what you want to accomplish and on what timeline. It’s important to include numerical measures of progress and deadlines so everyone understands what the goal is. For example, “increase online conversion rate for sales of personalized AI product recommendations by 10% in the next eight months” is a highly specific SMART goal.</li>
720. <li><strong>Measurable:</strong> Again, numbers are important for these types of goals, because you’ll only know if you’re on track if there’s a way to measure your progress toward milestones. In the example we’ve listed above, the numbers are all there, and the team can easily track which conversions are happening due to AI-powered recommendations.</li>
721. <li><strong>Achievable:</strong> AI adoption will fall apart if you don’t set realistic goals for your team to act on. In the case listed here, this goal should be achievable if enough team members are aware of and committed to resourcing it.</li>
722. <li><strong>Relevant:</strong> Just because AI can do a certain task doesn’t mean that it’s the most efficient way to use it in your business. Be sure to set goals that are relevant to your business operations and longterm revenue goals, or else you’ll end up wasting time on a less-valuable project. This SMART goal is only valuable for businesses that are hoping to increase their product revenue in this way.</li>
723. <li><strong>Time-bound:</strong> SMART goals should include a realistic timeline for completion. In the details or subtasks that roll up into this goal, consider including monthly or weekly check-ins so progress and bottlenecks can all be assessed.</li>
724. </ul>
725. <p>Your team may have one or several SMART goals like this one, depending on how many AI projects you’re working on at once. A helpful way to organize and visualize all of these goals as part of a bigger picture is through a planning roadmap. And while these goals may look a little different, it’s worthwhile to spell out any <a href="https://www.eweek.com/artificial-intelligence/ai-policy-and-governance/">AI ethics or compliance goals</a> too, so your team won&#8217;t forget about them in the middle of implementation.</p>
726. <h2><strong>4. Partner With Strategic AI Vendors</strong></h2>
727. <p>AI vendors come in all shapes and sizes. There are massive enterprises that were some of the earliest pioneers of AI technology, there are small <a href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/">AI startups</a> that focus on a specific product or use case, and there’s companies that do a little bit of everything for AI products and services.</p>
728. <p>While it isn’t realistic to research every AI company out there, it’s smart to look at a variety of players to see who would be a strategic partner for your business. In many cases, the biggest name isn’t the most aligned or experienced with what you want to do.</p>
729. <p>The best way to ensure your AI investments work across all departments and functions is to bring key leaders, managers, and stakeholders from each group into the decision-making process. Consider having them complete a demo or trial period, share their perspective on what is and isn’t working with their current tech stack, and gain more operational data to secure a well-informed partnership or a well-rounded purchase.</p>
730. <h2><strong>5. Develop and Follow an AI Implementation Plan</strong></h2>
731. <p>Realistically, you’ve already completed several steps in creating your AI implementation plan, especially if you were thoughtful while writing out your AI adoption goals. Now, it’s time to figure out the exact details for executing a successful AI rollout.</p>
732. <p>You’ll want to first prep all key aspects of your internal operations — tools, data, and teams — for AI adoption. With your existing applications and data, this step may involve cleaning up or reformatting data so it works with new tools. With your teams, you may need to take some time to share your tooling and timeline decisions with them so they know where they fit into the AI implementation schedule.</p>
733. <p>Several examples of AI action or implementation plans can be found online, but ultimately, you know what makes the most sense for your team. Source feedback from your employees, talk with your vendors about what’s possible, and don’t be afraid to adjust your plan if needed along the way.</p>
734. <h2><strong>6. Create Cross-Functional AI Training and Change Management Programs</strong></h2>
735. <p>AI business strategies, no matter how strategic, will fall apart if your teams are unaware of or uninvested in your hoped-for outcomes. That’s why it’s important to train all employees on how AI will impact their role and how they can best use it for success. This can be a particularly sensitive step in an AI business strategy, as some employees may fear they are being replaced by AI.</p>
736. <p>To address and mitigate these fears, make sure that your change management program offers retraining and professional development resources that can help these employees feel confident if they need to up-skill. Fortunately, many AI vendors provide customers with extensive knowledge bases, learning resources, and even training academies and certifications that can help. These resources are available at all times, so when new employees come aboard or existing employees need a refresher, go back to these resources to keep things running smoothly on all fronts.</p>
737. <figure id="attachment_224516" aria-describedby="caption-attachment-224516" style="width: 1000px" class="wp-caption alignnone"><img decoding="async" class="wp-image-224516 size-full" src="https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_b.jpg" alt="IBM's AI training interface." width="1000" height="388" srcset="https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_b.jpg 1000w, https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_b-300x116.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_b-768x298.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/tr_20240422-ai-business-strategy-figure_b-696x270.jpg 696w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption id="caption-attachment-224516" class="wp-caption-text">Many AI companies, including IBM, offer training academies, certifications, or other resources to help business users learn how to use AI effectively. Source: IBM.</figcaption></figure>
738. <h2><strong>7. Track AI Performance Metrics</strong></h2>
739. <p>During and after AI implementation, your business should regularly track AI performance through the metrics that matter most to you. For example, if you’ve adopted an AI healthcare assistant or agent, your metrics may look something like this:</p>
740. <ul>
741. <li>Patient satisfaction with AI agent interactions</li>
742. <li>AI agent’s response timeliness</li>
743. <li>AI agent’s response accuracy</li>
744. <li>AI agent’s adherence to HIPAA and privacy standards</li>
745. <li>Number of patient interactions with AI agents over time</li>
746. </ul>
747. <p>However, if you’ve invested in an <a href="https://www.eweek.com/artificial-intelligence/generative-ai-data-analytics/">AI data analytics</a> platform to support your marketing and sales teams, your metrics may be more like this:</p>
748. <ul>
749. <li>Quality of predictive insights</li>
750. <li>Quantity of predictive insights</li>
751. <li>Relevance and actionability of AI recommendations</li>
752. <li>User satisfaction with AI and data explainability</li>
753. <li>Performance speed and accuracy with larger datasets</li>
754. </ul>
755. <p>As you can see, these metric sets are quite different from each other. But they’re similar in that they each focus on both quantitative and qualitative measures of success. Regardless of what type of AI tool you use, be sure to select a wide variety of useful metrics and measure often; these measurements will help you determine if an <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">AI app</a> needs updating or a team needs retraining for better outcomes.</p>
756. <h2><strong>8. Adjust AI Solutions and Plans Periodically</strong></h2>
757. <p>What AI looks like today is not what it will look like tomorrow. And what your business looks like today is not necessarily what it will look like tomorrow or a month from now. Additionally, the AI tooling and regulatory landscape is changing at a rapid and constant rate, so it’s important to keep your AI implementation and adoption plans iterative and agile.</p>
758. <p>If you adopt and test AI solutions on an iterative basis while also keeping up with how AI and industry-specific regulations are evolving — as well as how your customers and the general public’s views on AI ethics and usage change over time — you’ll be prepared to shift your approach quickly and keep your company aligned with the best possible outcomes.</p>
759. <p><em><strong>For a deeper understanding of AI compliance issues, read our guide: <a href="https://www.eweek.com/artificial-intelligence/ai-policy-and-governance/" target="_blank" rel="noopener">AI Policy and Governance: What You Need to Know</a></strong></em></p>
760. <h2><strong>7 Benefits of AI Business Strategy Planning</strong></h2>
761. <p>The potential <a href="https://www.eweek.com/enterprise-apps/benefits-of-artificial-intelligence/" target="_blank" rel="noopener">benefits of AI</a> grow significantly when AI is accompanied by an effective business strategy. These are just a handful of the benefits that come with comprehensive AI business strategy planning:</p>
762. <ul>
763. <li><strong>More strategic AI adoption and usage:</strong> An AI business strategy plan provides clear details about who should use what AI tools, when and why they should use them, and how they should use them most effectively. This comprehensive plan helps your whole team adopt the right solutions and ensure they actually get used in a way that consistently benefits the business.</li>
764. <li><strong>AI risk management and disaster recovery planning:</strong> An AI strategy doesn’t just cover what tools you’ll be using but also delineates what structures and safeguards will need to be established for success. The preplanning that comes with AI business strategy leads many business leaders to prepare a more effective risk management and disaster recovery plan, which may even extend beyond your AI tools to better protect the rest of your business applications and operations.</li>
765. <li><strong>Responsible and ethical approach to AI adoption:</strong> AI business strategies help you to think about all of the ways AI can impact your business, both good and bad. Proactive planning and ideating for AI is the best way to ensure you make responsible and ethical decisions that consider the needs of your employees and customers alike.</li>
766. <li><strong>Cross-functional and cross-disciplinary AI adoption:</strong> Without an AI business strategy, individuals or individual departments may adopt AI tools without much thought given to who else could benefit from these technologies. An overarching AI strategy helps the entire business identify useful tools and how they can be used effectively in different roles and divisions of the company.</li>
767. <li><strong>Competitive edge:</strong> Businesses that flesh out their AI strategies will have a clear picture of what they want to accomplish and what steps they need to take to get there. While other competitors may simply start using AI and run into performance issues or bottlenecks due to poor planning, businesses with an AI strategy will avoid many of these pitfalls and pass their competitors quickly.</li>
768. <li><strong>Automation and productivity support:</strong> An AI strategy assists leaders in identifying where current performance gaps or challenges are hindering productivity in the business. From there, they can select the <a href="https://www.eweek.com/artificial-intelligence/ai-software/">AI software</a> that is most likely to solve these issues, automate complex workflows, and otherwise improve the day-to-day operations of the business.</li>
769. <li><strong>Enhanced customer experience and customer insights:</strong> Businesses typically start their AI journey with internal solutions to help their employees’ productivity, but with an AI business strategy, they may more quickly identify how AI can improve customer experiences.</li>
770. </ul>
771. <h2><strong>7 Common Challenges of AI Business Strategy Planning</strong></h2>
772. <p>AI business strategy planning is a difficult process, especially if you don’t get the right people and solutions in place from the outset. These are some of the most common mistakes and challenges that businesses face when working on AI business strategy plans:</p>
773. <ul>
774. <li><strong>Making smart cross-functional AI investments:</strong> Technology investment decisions are often made from the top down. But with AI technology that is designed to be embedded and incorporated into multiple parts of business operations, this approach may mean you invest in a tool that is not a good fit for certain employees’ day-to-day responsibilities. To avoid this, you should create a cross-functional decision-making team for AI business strategy planning.</li>
775. <li><strong>Preparing internal data and operations for AI:</strong> Many organizations spend all of their time researching and selecting the right AI tool for their business but never consider all of the work that should go into preparing their data, workflows, and other business assets for AI. Businesses that fail to prepare their data for AI may end up with poorly-trained or ineffective AIs, or worse, an AI that has been exposed to PII or PHI in a noncompliant manner.</li>
776. <li><strong>Setting and sticking to reasonable AI goals:</strong> AI is an exciting business prospect, and many business leaders are tempted to implement AI solutions across their operations all at once. However, this method can lead to implementation errors and limited utility, as you’re giving your teams minimal time to edit and fact-check AI additions. It’s a good idea to set iterative AI implementation goals, giving your team a chance to learn how these solutions work and optimize them before moving on to the next big thing.</li>
777. <li><strong>Considering AI from important ethical and privacy angles:</strong> Whether you’re in a highly regulated industry or not, working with AI can be risky because of how some of these models train with and otherwise expose private data and business processes. Businesses should steer clear of AI companies that are unable or unwilling to explain their data collection and training processes; they should also work closely with these vendors to determine what additional <a href="https://www.eweek.com/artificial-intelligence/ai-privacy-issues/" target="_blank" rel="noopener">AI privacy security safeguards</a> need to be added to protect their data when using AI tools.</li>
778. <li><strong>Identifying and enforcing change management best practices:</strong> Businesses often make the mistake of subscribing to an AI tool and then letting it collect dust while employees continue to manage their workflows as usual. To make sure AI investments are threaded through your operations effectively, you must first determine what AI should support and why and how this support should be offered. From there, it’s important to train and retrain all impacted workers on how to work with AI in their roles.</li>
779. <li><strong>Addressing new security challenges:</strong> Because of how AI technology works with data and complex training algorithms, these models can expose your data and operational infrastructure to new security risks. Many businesses fail to prepare for these new attack surfaces, which can lead to severe breaches and data theft or loss.</li>
780. <li><strong>Staying up-to-date on changes in AI technology and regulations:</strong> The AI technology landscape — and the regulations that are trailing just behind — seems to change on a minute-by-minute basis. If your organization doesn’t keep up with these changes, you may find yourself in a position where you’re using a tool or working with a company that is operating unethically or is noncompliant with regulations that impact your organization. It is your responsibility to stay abreast of regulatory changes and confirm that your <a href="https://www.eweek.com/artificial-intelligence/ai-companies/">AI vendors</a> and tools are in alignment.</li>
781. </ul>
782. <h2><strong>Frequently Asked Questions (FAQs)</strong></h2>
783. <h3><strong>Why Do You Need an AI Strategy?</strong></h3>
784. <p>Businesses need an AI strategy because investing in AI technologies can be an expensive, risky, and time-consuming practice. Going in with clear objectives and a strategic framework for AI investment will help your team identify the best solutions and get them operational with minimal hassle. This strategy will also help you determine if AI companies, technologies, and methodologies align with your organization’s culture, long-term goals, and ethical and legal expectations.</p>
785. <h3><strong>What Is an Example of an AI Strategy?</strong></h3>
786. <p>An example of an AI strategy is the structured framework, objectives, and measured steps that go into an AI implementation project like deploying a customer-facing AI chatbot on your e-commerce site.</p>
787. <p>To do this effectively, your organization should follow an AI strategy to get the right stakeholders involved, establish a clear overarching goal, set up objectives and deadlines, determine steps and initiatives to move in that direction, and define metrics to measure the overall success of this strategic implementation.</p>
788. <p>In the case of the example listed here, this will involve actions like:</p>
789. <ul>
790. <li>Involving marketing, sales, IT, and product team stakeholders in decision-making</li>
791. <li>Setting a goal for how you want the AI chatbot to interact with customers and pass off conversations to human agents</li>
792. <li>Developing the steps and investments your organization needs to reach this goal</li>
793. <li>Measuring the AI solution&#8217;s success with metrics like response accuracy, response speediness, and customer satisfaction</li>
794. </ul>
795. <h3><strong>How Do You Implement AI into Your Business?</strong></h3>
796. <p>You should implement AI into your business through an iterative and ongoing strategic process. As business priorities, budgets, stakeholders, and the <a href="https://www.eweek.com/artificial-intelligence/generative-ai-landscape/" target="_blank" rel="noopener">AI landscape</a> change over time, it will be important to watch for these shifts and make changes to your AI tooling strategy accordingly. Taking measurable, distinct steps in your AI adoption journey will make it easier to pivot.</p>
797. <h2><strong>Bottom Line: Developing an AI Business Strategy That Works for You</strong></h2>
798. <p>AI business strategies should be custom-fitted to your organization, though the steps covered above provide a useful framework for getting started. Ultimately, you know what your business’s weaknesses are and what areas can most benefit from AI adoption. If you don’t know where these weaknesses are now, it’s time to start the internal discovery process and speak directly with internal stakeholders so you can identify where AI support is most needed.</p>
799. <p>When you begin to develop your AI business strategy, start by reflecting on what’s happening in your particular organization, industry, talent pool, and tool stack. All of these variables should influence the AI partnerships and tools you select, especially as many AI vendors are beginning to specialize in highly specific niches and use cases. If your workforce has limited AI experience or technical knowledge, it may be wise to research and partner with an <a href="https://www.eweek.com/artificial-intelligence/what-is-ai-as-a-service/" target="_blank" rel="noopener">AI-as-a-service</a> or AI consulting company that has experience with your industry and the goals you are trying to accomplish.</p>
800. <p><em><strong>To learn where the next generation of AI companies are headed, see our extensive overview: <a href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/" target="_blank" rel="noopener">Top 75 Generative AI Startups</a></strong></em></p>
801. <p>The post <a href="https://www.eweek.com/artificial-intelligence/ai-business-strategy/">Creating a Winning AI Business Strategy: 8 Steps</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
802. ]]></content:encoded>
806. </item>
807. <item>
808. <title>6 Best Prompt Engineering Tools in 2024</title>
809. <link>https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/</link>
811. <dc:creator><![CDATA[Sam Rinko]]></dc:creator>
812. <pubDate>Mon, 22 Apr 2024 21:30:23 +0000</pubDate>
813. <category><![CDATA[Artificial Intelligence]]></category>
814. <category><![CDATA[Latest News]]></category>
815. <category><![CDATA[AI]]></category>
816. <category><![CDATA[Generative AI]]></category>
817. <category><![CDATA[large language models]]></category>
818. <category><![CDATA[LLM]]></category>
819. <category><![CDATA[prompt engineering tools]]></category>
820. <guid isPermaLink="false">https://www.eweek.com/?p=224506</guid>
821.  
822. <description><![CDATA[<p>Prompt engineering tools are software platforms that help business owners, content creators and prompt engineers craft effective prompts that maximize output from their large language models (LLMs) and generative AI tools. In other words, the best prompt engineering tools provide you with the instructions and support for getting your AI tools to create what you [&#8230;]</p>
823. <p>The post <a href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/">6 Best Prompt Engineering Tools in 2024</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
824. ]]></description>
825. <content:encoded><![CDATA[<p>Prompt engineering tools are software platforms that help business owners, content creators and prompt engineers craft effective prompts that maximize output from their large language models (LLMs) and generative AI tools.</p>
826. <p>In other words, the best prompt engineering tools provide you with the instructions and support for getting your AI tools to create what you want, whether that’s a piece of marketing copy or an AI image of a burning castle for an advertisement.</p>
827. <p>Typically, the leading prompting tools offer searchable prompt libraries where you can pay for – or freely access – high-quality, pre-made prompts. They also offer prompt organization functionality, prompt evaluation tools, and plenty of inspiration to help you write your own prompts and prompt templates.</p>
828. <p>Here are our top six picks for prompt engineering tools:</p>
829. <ul>
830. <li><strong><a href="https://link.technologyadvice.com/r/aiprm-main" target="_blank" rel="noopener nofollow">AIPRM</a>:</strong> Best for an easy-to-use ChatGPT prompt Chrome Extension</li>
831. <li><strong><a href="https://link.technologyadvice.com/r/saas-prompts-main" target="_blank" rel="noopener nofollow">SaaS Prompts</a>:</strong> Best for finding free ChatGPT prompts for SaaS companies</li>
832. <li><strong><a href="https://link.technologyadvice.com/r/promptbase-main" target="_blank" rel="noopener nofollow">PromptBase</a>:</strong> Best for a massive library of for-sale prompts</li>
833. <li><strong><a href="https://link.technologyadvice.com/r/prompthero-main" target="_blank" rel="noopener nofollow">PromptHero</a>:</strong> Best for finding quality free AI image prompts</li>
834. <li><strong><a href="https://link.technologyadvice.com/r/agenta-main" target="_blank" rel="noopener nofollow">Agenta</a>:</strong> Best for evaluating prompts for LLM-based AI applications</li>
835. <li><strong><a href="https://link.technologyadvice.com/r/promptpal-main" target="_blank" rel="noopener nofollow">PromptPal</a>:</strong> Best for an affordable subscription-based prompt library</li>
836. </ul>
837. <h2><strong>Top 6 Prompt Engineering Software Comparison</strong></h2>
838. <p>Below is a comparison table that will help you quickly find the best prompt engineering tool for your specific business needs:</p>
839. <table style="width: 100%;">
840. <tbody>
841. <tr>
842. <th style="width: 18%;"></th>
843. <th style="width: 16%; text-align: center;">Prompt Library Size</th>
844. <th style="width: 18%; text-align: center;">LLMs Supported</th>
845. <th style="width: 16%; text-align: center;">Image/Text Prompts</th>
846. <th style="width: 16%; text-align: center;">Prompt Testing and Evaluation</th>
847. <th style="width: 16%; text-align: center;">Starting Price</th>
848. </tr>
849. <tr>
850. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/aiprm-main" target="_blank" rel="noopener nofollow"><strong>AIPRM</strong></a></td>
851. <td style="text-align: center;">4,500+</td>
852. <td>ChatGPT</td>
853. <td style="text-align: center;">Both</td>
854. <td style="text-align: center;">Limited</td>
855. <td style="text-align: center;">Free</td>
856. </tr>
857. <tr>
858. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/saas-prompts-main" target="_blank" rel="noopener nofollow"><strong>SaaS Prompts</strong></a></td>
859. <td style="text-align: center;">500+</td>
860. <td>ChatGPT</td>
861. <td style="text-align: center;">Text-only</td>
862. <td style="text-align: center;">No</td>
863. <td style="text-align: center;">Free</td>
864. </tr>
865. <tr>
866. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/promptbase-main" target="_blank" rel="noopener nofollow"><strong>PromptBase</strong></a></td>
867. <td style="text-align: center;">100,000+</td>
868. <td>Midjourney, GPT, Stable Diffusion, Dall-E, and more</td>
869. <td style="text-align: center;">Both</td>
870. <td style="text-align: center;">No</td>
871. <td style="text-align: center;">$1.99</td>
872. </tr>
873. <tr>
874. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/prompthero-main" target="_blank" rel="noopener nofollow"><strong>PromptHero</strong></a></td>
875. <td style="text-align: center;">Doesn’t say</td>
876. <td>Midjourney, GPT, Stable Diffusion, Dall-E, and more</td>
877. <td style="text-align: center;">Image-only</td>
878. <td style="text-align: center;">No</td>
879. <td style="text-align: center;">Free</td>
880. </tr>
881. <tr>
882. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/agenta-main" target="_blank" rel="noopener nofollow"><strong>Agenta</strong></a></td>
883. <td style="text-align: center;">Not available</td>
884. <td>OpenAI, Cohere, local models, and any LLM app architecture</td>
885. <td style="text-align: center;">Not available</td>
886. <td style="text-align: center;">Yes</td>
887. <td style="text-align: center;">Free</td>
888. </tr>
889. <tr>
890. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/promptpal-main" target="_blank" rel="noopener nofollow"><strong>PromptPal</strong></a></td>
891. <td style="text-align: center;">2,700+</td>
892. <td>Midjourney, GPT, Stable Diffusion, Dall-E, Llama AI, and more</td>
893. <td style="text-align: center;">Both</td>
894. <td style="text-align: center;">No</td>
895. <td style="text-align: center;">Free</td>
896. </tr>
897. </tbody>
898. </table>
899. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
900. <p class="ez-toc-title">TABLE OF CONTENTS</p>
901. <label for="ez-toc-cssicon-toggle-item-662b2c09148e1" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c09148e1"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#top-6-prompt-engineering-software-comparison" title="Top 6 Prompt Engineering Software Comparison">Top 6 Prompt Engineering Software Comparison</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#aiprm-best-for-an-easy-to-use-chatgpt-prompt-chrome-extension" title="AIPRM: Best for an Easy-to-Use ChatGPT Prompt Chrome Extension">AIPRM: Best for an Easy-to-Use ChatGPT Prompt Chrome Extension</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#saas-prompts-best-for-finding-free-chatgpt-prompts-for-saas-companies" title="SaaS Prompts: Best for Finding Free ChatGPT Prompts for SaaS Companies">SaaS Prompts: Best for Finding Free ChatGPT Prompts for SaaS Companies</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#promptbase-best-for-a-massive-library-of-for-sale-prompts" title="PromptBase: Best for a Massive Library of For-Sale Prompts">PromptBase: Best for a Massive Library of For-Sale Prompts</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#prompthero-best-for-finding-quality-free-ai-image-prompts" title="PromptHero: Best for Finding Quality Free AI Image Prompts">PromptHero: Best for Finding Quality Free AI Image Prompts</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#agenta-best-for-evaluating-prompts-for-llm-based-ai-applications" title="Agenta: Best for Evaluating Prompts for LLM-Based AI Applications">Agenta: Best for Evaluating Prompts for LLM-Based AI Applications</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#promptpal-best-for-an-affordable-subscription-based-prompt-library" title="PromptPal: Best for an Affordable Subscription-Based Prompt Library">PromptPal: Best for an Affordable Subscription-Based Prompt Library</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-8" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#key-features-of-prompt-engineering-software" title="Key Features of Prompt Engineering Software">Key Features of Prompt Engineering Software</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-9" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#how-to-choose-the-best-prompt-engineering-software-for-your-business" title="How to Choose the Best Prompt Engineering Software for Your Business">How to Choose the Best Prompt Engineering Software for Your Business</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-10" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#how-we-evaluated-prompt-engineering-software" title="How We Evaluated Prompt Engineering Software">How We Evaluated Prompt Engineering Software</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-11" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#frequently-asked-questions-faqs-prompt-engineering-tools" title="Frequently Asked Questions (FAQs): Prompt Engineering Tools">Frequently Asked Questions (FAQs): Prompt Engineering Tools</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-12" href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/#bottom-line-prompting-tools-boost-ai-productivity" title="Bottom Line: Prompting Tools Boost AI Productivity ">Bottom Line: Prompting Tools Boost AI Productivity </a></li></ul></nav></div>
902.  
903. <p><img decoding="async" class="size-full wp-image-224514 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/aiprm-icon.png" alt="AIPRM icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/aiprm-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/aiprm-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
904. <h2><strong>AIPRM: </strong><strong>Best for an Easy-to-Use ChatGPT Prompt Chrome Extension</strong></h2>
905. <p>Positioned as the “cheat code” to <a href="https://www.eweek.com/artificial-intelligence/chatgpt-enterprise/">ChatGPT</a>, AIPRM is ChatGPT prompt management software and a Chrome extension that provides business users with 4,500+ pre-built prompts that they can find, enhance, and copy inside of the ChatGPT interface.</p>
906. <p>With numerous topical and activity-based search filters, users can easily discover prompts for various tasks, whether that’s creating copy for a LinkedIn ad or writing Midjourney prompts. You can also save your favorite prompts to a curated list, where other members of your team can access them, and even build new custom prompts with its prompt variables.</p>
907. <p>Premium users can access the Custom Tones and Style feature, which enables them to automatically apply their company’s branding to all of the prompts they use. This is a great tool for those who want an easy-to-use Chrome extension to streamline their interactions with ChatGPT and routinely get the right <a href="https://www.eweek.com/artificial-intelligence/large-language-model/">large language model</a> outputs for their specific business needs.</p>
908. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
909. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/aiprm-main" target="_blank" rel="noopener nofollow">Visit AIPRM</a></div>
910. </div>
911. <h3><strong>Pros and Cons</strong></h3>
912. <table style="width: 100%;">
913. <tbody>
914. <tr>
915. <th style="width: 50%; text-align: center;">Pros</th>
916. <th style="width: 50%; text-align: center;">Cons</th>
917. </tr>
918. <tr>
919. <td>Simple to use inside of ChatGPT</td>
920. <td>Restricted to ChatGPT</td>
921. </tr>
922. <tr>
923. <td>Can apply branding across all prompts</td>
924. <td>Must pay for AIPRM-verified prompts</td>
925. </tr>
926. </tbody>
927. </table>
928. <h3><strong>Pricing</strong></h3>
929. <ul>
930. <li>Free Chrome extension with basic features.</li>
931. <li><strong>AIPRM Plus:</strong> Gain access to tone and writing style feature and more prompts.</li>
932. <li><strong>AIPRM Pro:</strong> Gain access to AIPRM-verified prompts and other advanced features.</li>
933. </ul>
934. <h3><strong>Features</strong></h3>
935. <ul>
936. <li>4,500+ ready-made prompts for ChatGPT</li>
937. <li>Prompts for generating high-quality content for sales and marketing</li>
938. <li>Prompt branding with tone and style</li>
939. <li>Easy-to-use Chrome extension</li>
940. <li>Easy-to-navigate prompt search engine</li>
941. </ul>
942. <p><em><strong>To gain a deeper understanding of today&#8217;s top large language models, read our guide to <a href="https://www.eweek.com/artificial-intelligence/best-large-language-models">Best Large Language Models</a></strong></em></p>
943. <p><img decoding="async" class="size-full wp-image-224513 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/saas_prompts-icon.png" alt="SaaS Prompts icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/saas_prompts-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/saas_prompts-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
944. <h2><strong>SaaS Prompts: </strong><strong>Best for Finding Free ChatGPT Prompts for SaaS Companies</strong></h2>
945. <p>SaaS Prompts is a prompt library that contains 500+ ready-made ChatGPT prompt ideas that’ll help SaaS companies grow their business. There are prompts for numerous topics that matter to SaaS founders, from fundraising and social media to product launches, and you can filter through them easily on the website.</p>
946. <p>That said, this tool is best used for streamlining content generation tasks, whether that’s writing an actionable email template for following up with trade booth leads or building an outline of a brochure. It’s great for busy SaaS founders and entrepreneurs who need help interacting with ChatGPT and want some guidance via example prompts created by an expert in how ChatGPT works.</p>
947. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
948. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/saas-prompts-main" target="_blank" rel="noopener nofollow">Visit SaaS Prompts</a></div>
949. </div>
950. <h3><strong>Pros and Cons</strong></h3>
951. <table style="width: 100%;">
952. <tbody>
953. <tr>
954. <th style="width: 50%; text-align: center;">Pros</th>
955. <th style="width: 50%; text-align: center;">Cons</th>
956. </tr>
957. <tr>
958. <td>Quality outputs using the prompts</td>
959. <td>Most of the prompts are pretty simple</td>
960. </tr>
961. <tr>
962. <td>Free to use</td>
963. <td>Only a prompt library</td>
964. </tr>
965. </tbody>
966. </table>
967. <h3><strong>Pricing</strong></h3>
968. <ul>
969. <li>Free prompts.</li>
970. </ul>
971. <h3><strong>Features</strong></h3>
972. <ul>
973. <li>500+ pre-made, actionable SaaS-related prompts</li>
974. <li>Prompts for fundraising, sales, product management, and more</li>
975. <li>Prompt templates for classification, text summarization, and report generation</li>
976. <li>Helpful ideas for prompt engineers and SaaS business owners.</li>
977. </ul>
978. <p><img decoding="async" class="size-full wp-image-224512 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/promptbase-icon.png" alt="PromptBase icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/promptbase-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/promptbase-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
979. <h2><strong>PromptBase: </strong><strong>Best for a Massive Library of For-Sale Prompts</strong></h2>
980. <p>PromptBase is a prompt marketplace where you can buy and sell high-quality image and text prompts for Llama, GPT, Midjourney, and other <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">generative AI tools</a>. You can filter through the marketplace using checkboxes for LLM, category, popularity, and prompt type (text or image). Categories range from chatbot and email to business and travel.</p>
981. <p>Compared to other prompt engineering tools, PromptBase has a remarkably high quantity of prompts, with its total library surpassing 100,000 AI prompts, all of which are built by prompt engineers and approved by PromptBase’s team.</p>
982. <p>This means it&#8217;s easy for business owners, creatives, and developers to quickly find the effective prompts they’re looking for, so they can significantly improve LLM output while decreasing API costs and saving time.</p>
983. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
984. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/promptbase-main" target="_blank" rel="noopener nofollow">Visit PromptBase</a></div>
985. </div>
986. <div><em><b style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">For more information about generative AI providers, read our in-depth guide: </b><a style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=generative-ai-companies-top-12-leaders"><b>Generative AI Companies: Top 20 Leaders</b></a></em></div>
987. <h3><strong>Pros and Cons</strong></h3>
988. <table style="width: 100%;">
989. <tbody>
990. <tr>
991. <th style="width: 50%; text-align: center;">Pros</th>
992. <th style="width: 50%; text-align: center;">Cons</th>
993. </tr>
994. <tr>
995. <td>Extensive library of prompts for popular LLMs</td>
996. <td>Missing some key LLMs like Gemini</td>
997. </tr>
998. <tr>
999. <td>Most prompts are under $5</td>
1000. <td>Costs can quickly add up if you buy a lot of them</td>
1001. </tr>
1002. </tbody>
1003. </table>
1004. <h3><strong>Pricing</strong></h3>
1005. <ul>
1006. <li>A la carte — pay for prompts you want to buy.</li>
1007. </ul>
1008. <h3><strong>Features</strong></h3>
1009. <ul>
1010. <li>100,000+ affordable AI prompts, including business-focused prompts</li>
1011. <li>Compatible with ChatGPT, Midjourney, Stable Diffusion, Dall-E, and more</li>
1012. <li>Can buy task-specific generative AI apps</li>
1013. <li>Easy-to-use search and filter function</li>
1014. <li>No-code app builder</li>
1015. </ul>
1016. <p><img decoding="async" class="size-full wp-image-224511 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/prompthero-icon.png" alt="PromptHero icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/prompthero-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/prompthero-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
1017. <h2><strong>PromptHero: </strong><strong>Best for Finding Quality Free AI Image Prompts</strong></h2>
1018. <p>PromptHero is a tool for finding and building <a href="https://www.eweek.com/artificial-intelligence/best-ai-art-generators/">AI image</a> prompts for the most popular AI image generator tools, including Dall-E, Stable Diffusion, and Midjourney. Users can leverage the platform to discover prompts and gain inspiration for how to write their own by exploring the wide range of key phrases and techniques used by the prompt creators on the platform.</p>
1019. <p>For example, if you needed an image of a Victorian house, you could search “victorian house,” review the prompt of the image you liked, and then use that as a template for your own prompt. Marketers, advertisers, designers, and any business that needs to generate AI images that meet their specifications will find value in this tool.</p>
1020. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1021. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/prompthero-main" target="_blank" rel="noopener nofollow">Visit PromptHero</a></div>
1022. </div>
1023. <h3><strong>Pros and Cons</strong></h3>
1024. <table style="width: 100%;">
1025. <tbody>
1026. <tr>
1027. <th style="width: 50%; text-align: center;">Pros</th>
1028. <th style="width: 50%; text-align: center;">Cons</th>
1029. </tr>
1030. <tr>
1031. <td>Works with the top AI image generators</td>
1032. <td>Not meant for text-generating prompts</td>
1033. </tr>
1034. <tr>
1035. <td>Incredible range of images and prompts</td>
1036. <td>Can be explicit images in the search results</td>
1037. </tr>
1038. </tbody>
1039. </table>
1040. <h3><strong>Pricing</strong></h3>
1041. <ul>
1042. <li>Free to use.</li>
1043. </ul>
1044. <h3><strong>Features</strong></h3>
1045. <ul>
1046. <li>Create AI image prompts by borrowing effective key phrases</li>
1047. <li>Discover AI image prompts using the search engine</li>
1048. <li>Works with Midjourney, Stable Diffusion, ChatGPT, and other AI image generation tools</li>
1049. <li>Build out a prompting portfolio</li>
1050. <li>Find prompts for thousands of different image categories</li>
1051. </ul>
1052. <p><img decoding="async" class="size-full wp-image-224510 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/agenta-icon.png" alt="Agenta icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/agenta-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/agenta-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
1053. <h2><strong>Agenta: </strong><strong>Best for Evaluating Prompts for LLM-Based AI Applications</strong></h2>
1054. <p>Agenta is an open-source end-to-end LLM development platform, available for free on GitHub, that specifically helps developers build, test, and deploy LLMs and LLM-powered applications.</p>
1055. <p>Part of this development process includes quickly experimenting with and evaluating LLM prompts in an iterative manner to find the best methods for producing ideal results, and Agenta provides helpful tools for this aspect.</p>
1056. <p>In the Agenta playground, developers can build prompt templates, compare different versions of prompts, and try out different prompt parameters. They can also easily collaborate on prompt engineering with non-developers, such as subject matter experts and product managers, to streamline the development process.</p>
1057. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1058. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/agenta-main" target="_blank" rel="noopener nofollow">Visit Agenta</a></div>
1059. </div>
1060. <h3><strong>Pros and Cons</strong></h3>
1061. <table style="width: 100%;">
1062. <tbody>
1063. <tr>
1064. <th style="width: 50%; text-align: center;">Pros</th>
1065. <th style="width: 50%; text-align: center;">Cons</th>
1066. </tr>
1067. <tr>
1068. <td>Open-source and free to use</td>
1069. <td>Can be difficult for non-techies to use</td>
1070. </tr>
1071. <tr>
1072. <td>Can easily compare and evaluate prompts</td>
1073. <td>Not for finding new pre-tested prompts</td>
1074. </tr>
1075. </tbody>
1076. </table>
1077. <h3><strong>Pricing</strong></h3>
1078. <ul>
1079. <li>Free and accessible through GitHub.</li>
1080. </ul>
1081. <h3><strong>Features</strong></h3>
1082. <ul>
1083. <li>Prompt parameter testing</li>
1084. <li>Prompt variant comparison</li>
1085. <li>LLM app development platform</li>
1086. <li>Prompt template creation and saving</li>
1087. <li>Work in your chosen developer framework and workflow</li>
1088. <li>Non-developer collaboration</li>
1089. </ul>
1090. <p><img decoding="async" class="size-full wp-image-224509 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/promptpal-icon.png" alt="PromptPal icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/promptpal-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/promptpal-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
1091. <h2><strong>PromptPal: </strong><strong>Best for an Affordable Subscription-Based Prompt Library</strong></h2>
1092. <p>PromptPal is a prompt library where users can discover thousands of user-uploaded text and image prompts for popular LLM tools, including ChatGPT, Midjourney, LLaMA AI, <a href="https://www.eweek.com/artificial-intelligence/midjourney-vs-dalle/">Dall-E</a>, and Stable Diffusion. It’s sort of like what Shutterstock or Unsplash are for stock photos and images.</p>
1093. <p>To find situation-specific prompts, you can use the in-app search engine. Type in “Article Writing,” for example, and you’ll see numerous prompts for various related tasks, from outlining a blog post to brainstorming article titles.</p>
1094. <p>Most of their prompts are hidden behind a paywall, and you’ll have to sign up for their Pro plan at $3.74 per month to access them, but that’s a small price to pay for the time a solid prompt saves you. Though this isn’t the best tool for developers building or evaluating prompts, it can be useful for content creators or freelancers who need prompts for simpler tasks or some inspiration for writing their own.</p>
1095. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1096. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/promptpal-main" target="_blank" rel="noopener nofollow">Visit PromptPal</a></div>
1097. </div>
1098. <h3><strong>Pros and Cons</strong></h3>
1099. <table style="width: 100%;">
1100. <tbody>
1101. <tr>
1102. <th style="width: 50%; text-align: center;">Pros</th>
1103. <th style="width: 50%; text-align: center;">Cons</th>
1104. </tr>
1105. <tr>
1106. <td>Works with many of the most popular LLMs</td>
1107. <td>Must buy the Pro plan to see the most prompts</td>
1108. </tr>
1109. <tr>
1110. <td>Many free and quality prompts for text and images</td>
1111. <td>Can sometimes be hard to find the right prompt</td>
1112. </tr>
1113. </tbody>
1114. </table>
1115. <h3><strong>Pricing</strong></h3>
1116. <ul>
1117. <li>Free access to many prompts.</li>
1118. <li><strong>Pro Prompts:</strong> $3.74 per month (gain access to Pro prompts).</li>
1119. <li><strong>Pro Chatbot:</strong> $3.74 per month (unlimited queries for AI chatbots).</li>
1120. <li><strong>Combo:</strong> $5.99 per month Get Pro Plan and Pro Chatbot.</li>
1121. </ul>
1122. <h3><strong>Features</strong></h3>
1123. <ul>
1124. <li>Prompts for ChatGPT, Midjourney, Stable Diffusion, Dall-E, and LLaMA AI</li>
1125. <li>Access to free pre-tested, user-shared prompts</li>
1126. <li>Low monthly subscription cost to access premium prompts</li>
1127. <li>Search engine for discovering task-specific prompts</li>
1128. <li>Categories for content creation, coding, YouTube, LinkedIn, and more</li>
1129. </ul>
1130. <h2><strong>Key Features of Prompt Engineering Software</strong></h2>
1131. <p>Prompt engineering software comes with a diverse toolbox of prompt creation and finding features, including searchable prompt libraries, prompt experimentation and testing, and prompt organization features. These tools also generally differ based on which LLMs they support and their balance of image and text prompts.</p>
1132. <h3><strong>Prompt Library / Search Engine</strong></h3>
1133. <p>Prompt libraries are repositories of prompts organized into various categories, such as business, fundraising, or fantasy images. A quality prompt engineering tool will also have an advanced search engine to filter through the library and easily find the right prompts for your specific needs.</p>
1134. <h3><strong>LLM Compatibility</strong></h3>
1135. <p>LLM compatibility refers to a prompt engineering tool’s ability to generate and offer prompts for a specific large language model or generative AI tool. Most prompting tools work with the biggies, like ChatGPT or Dall-E, but some might be restrictive — like SaaS Prompts, for example — which can only be used with ChatGPT. It’s important to find a prompting tool that is compatible with your go-to LLMs.</p>
1136. <h3><strong>Prompt Evaluation</strong></h3>
1137. <p>Prompt evaluation is a feature that allows users to quickly assess the effectiveness of their prompts or inputs for a particular task while also refining these prompts through an iterative process based on such feedback. Typically, this is made possible via parameter testing, prompt version comparisons, automated prompt suggestions, and other helpful tools. This feature is especially critical for developers building LLM-powered <a href="https://www.eweek.com/artificial-intelligence/ai-software/">AI applications</a>.</p>
1138. <h3><strong>AI Image and Text Prompts</strong></h3>
1139. <p>Some prompting tools specialize in providing AI image prompts (prompts that generate AI images), while others focus more on text-output prompts.</p>
1140. <p>For the image prompts, users can usually search for images, click on them, and see the prompt used to create the images, thus providing them with inspiration for making similar images on the given LLM. Text-output prompts, on the other hand, are listed in a prompt library by the name of the output you’re hoping to create — e.g., ad copy for a tech brand.</p>
1141. <h3><strong>Prompt Saving and Sharing</strong></h3>
1142. <p>When you find or create high-quality prompts that reliably give you the outputs you’re looking for, you’ll want to save them and share them with the rest of your team, so a feature that allows you to do so while keeping your prompts organized is important in a prompt engineering tool. This will also help you quickly find those prompts when you need them, helping your business increase productivity when interacting with LLMs and other generative AI tools.</p>
1143. <h2><strong>How to Choose the Best Prompt Engineering Software for Your Business</strong></h2>
1144. <p>To choose the best prompt engineering software for your business, you need to consider several factors:</p>
1145. <ul>
1146. <li>The tool’s compatibility with your current LLMs and AI tools.</li>
1147. <li>The range of the tool’s functionality (Agenta, for example, has excellent prompt evaluation features, while others do not).</li>
1148. <li>Whether you need text or image prompts (or both).</li>
1149. <li>The price you’re willing to pay.</li>
1150. <li>Your common categories of output (for instance, SaaS Prompts has prompts for outputs SaaS brands typically need).</li>
1151. </ul>
1152. <p>The best tool will fit your budget, work with your existing systems, and provide you with the capabilities you need to increase productivity and decision-making when working with generative AI tools.</p>
1153. <p><em><strong>Want a scannable list of 150 artificial intelligence companies with groundbreaking tools? Check out our article on the top <a href="https://www.eweek.com/artificial-intelligence/ai-companies/" target="_blank" rel="noopener">AI companies</a>, where you can discover more tools for increasing the productivity of your business.</strong></em></p>
1154. <h2><strong>How We Evaluated Prompt Engineering Software</strong></h2>
1155. <p>To identify the best prompting tools, we determined whether they contain the most important features for businesses and whether they are compatible with popular LLMs. Then we made sure they were easy to use for the target users and affordable based on their offerings. Each percentage below marks the weight given to each scoring criterion.</p>
1156. <h3><strong>Core Features &#8211; 30%</strong></h3>
1157. <p>We checked the availability and effectiveness of each tool’s prompt library, search engine, prompt saving function, and prompt evaluation capabilities.</p>
1158. <h3><strong>LLM Compatibility &#8211; 25%</strong></h3>
1159. <p>To assess prompting tools on LLM compatibility, we checked which large language models and generative AI tools they offered prompts for, putting a premium on the more popular AI tools.</p>
1160. <h3><strong>Ease of Use &#8211; 25%</strong></h3>
1161. <p>We looked into how easy it is for a user to find and create prompts with the tool and integrate it into their day-to-day workflow. This meant examining the user interface, coding requirements, and the complexity of the major features.</p>
1162. <h3><strong>Pricing &#8211; 20%</strong></h3>
1163. <p>To evaluate price, we looked into their free offerings, subscription prices, and, for marketplaces, the cost of an average prompt.</p>
1164. <h2><strong>Frequently Asked Questions (FAQs): Prompt Engineering Tools</strong></h2>
1165. <h3><strong>What Are the Benefits of Prompt Engineering Tools?</strong></h3>
1166. <p>Prompt engineering tools help you more efficiently and consistently produce desired outputs in your large language model and AI tools by providing you with exact inputs (aka prompts) and the strategies for creating them.</p>
1167. <h3><strong>How Can I Use Prompt Engineering Tools Effectively?</strong></h3>
1168. <p>Prompt engineers and business professionals can use prompt engineering tools effectively by regularly discovering new prompts, testing them either on the platform or in their LLM, and tweaking them with an iterative process until they fit the needs of your application or task.</p>
1169. <h3><strong>Are There any Challenges or Limitations With Prompt Engineering Tools?</strong></h3>
1170. <p>A common limitation of prompting tools is that you may be unable to find a pre-made prompt that’s designed for your specific task, meaning you’ll have to use available prompts for related tasks as inspiration rather than words to copy and paste into your LLM.</p>
1171. <h2><strong>Bottom Line: Prompting Tools Boost AI Productivity </strong></h2>
1172. <p>Prompt engineering tools have the power to dramatically increase the productivity of prompt engineers, content creators, designers, and anyone else working with large language models and generative AI tools.</p>
1173. <p>By enabling you to find and build effective prompts, these tools streamline the hunt for the perfect phrases and instructions that’ll give you the outputs you need. In doing so, they enable users to gain maximum competitive advantage from artificial intelligence software.</p>
1174. <p><em><strong>For a detailed list of today&#8217;s free AI apps, see our in-depth report, <a href="https://www.eweek.com/artificial-intelligence/free-ai-tools/">Free AI Tools</a> </strong></em></p>
1175. <p>The post <a href="https://www.eweek.com/artificial-intelligence/prompt-engineering-tools/">6 Best Prompt Engineering Tools in 2024</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
1176. ]]></content:encoded>
1180. </item>
1181. <item>
1182. <title>What is Retrieval-Augmented Generation? How it Works &#038; Use Cases</title>
1183. <link>https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/</link>
1185. <dc:creator><![CDATA[Aminu Abdullahi]]></dc:creator>
1186. <pubDate>Fri, 19 Apr 2024 23:24:05 +0000</pubDate>
1187. <category><![CDATA[Artificial Intelligence]]></category>
1188. <category><![CDATA[Latest News]]></category>
1189. <category><![CDATA[AI]]></category>
1190. <category><![CDATA[RAG]]></category>
1191. <category><![CDATA[what is retrieval augmented generation]]></category>
1192. <guid isPermaLink="false">https://www.eweek.com/?p=224465</guid>
1193.  
1194. <description><![CDATA[<p>Retrieval-augmented generation, or RAG, is a technique for enhancing the output of large language models by incorporating information from external knowledge bases or sources. By retrieving relevant data or documents before generating a response, RAG improves the generated text&#8217;s accuracy, reliability, and informativeness. This approach helps ground the generated content in external sources of information, [&#8230;]</p>
1195. <p>The post <a href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/">What is Retrieval-Augmented Generation? How it Works &#038; Use Cases</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
1196. ]]></description>
1197. <content:encoded><![CDATA[<p>Retrieval-augmented generation, or RAG, is a technique for enhancing the output of large language models by incorporating information from external knowledge bases or sources.</p>
1198. <p>By retrieving relevant data or documents before generating a response, RAG improves the generated text&#8217;s accuracy, reliability, and informativeness. This approach helps ground the generated content in external sources of information, ensuring that the output is more contextually relevant and factually accurate.</p>
1199. <p>Read on to learn more about RAG, how it works, its use cases, and how it differs from the traditional process of natural language processing (NLP).</p>
1200. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
1201. <p class="ez-toc-title">TABLE OF CONTENTS</p>
1202. <label for="ez-toc-cssicon-toggle-item-662b2c091a08a" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c091a08a"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/#what-exactly-is-retrieval-augmented-generation-rag" title="What Exactly is Retrieval-Augmented Generation (RAG)?">What Exactly is Retrieval-Augmented Generation (RAG)?</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/#how-retrieval-augmented-generation-works-in-practice" title="How Retrieval-Augmented Generation Works in Practice">How Retrieval-Augmented Generation Works in Practice</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/#3-key-benefits-of-retrieval-augmented-generation" title="3 Key Benefits of Retrieval-Augmented Generation">3 Key Benefits of Retrieval-Augmented Generation</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/#when-to-use-rag-vs-fine-tuning-an-ai-model" title="When to Use RAG vs. Fine-Tuning an AI Model">When to Use RAG vs. Fine-Tuning an AI Model</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/#how-is-retrieval-augmented-generation-being-used-today" title="How is Retrieval-Augmented Generation Being Used Today?">How is Retrieval-Augmented Generation Being Used Today?</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/#rag-vs-traditional-approaches" title="RAG vs. Traditional Approaches">RAG vs. Traditional Approaches</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/#bottom-line-embracing-the-potential-of-rag" title="Bottom Line: Embracing the Potential of RAG">Bottom Line: Embracing the Potential of RAG</a></li></ul></nav></div>
1203.  
1204. <h2><strong>What Exactly is Retrieval-Augmented Generation (RAG)?</strong></h2>
1205. <p>You&#8217;ve probably heard people say that <a href="https://www.eweek.com/artificial-intelligence/generative-ai-model/">AI-generated content</a> is susceptible to plagiarism and lack of originality. In traditional <a href="https://www.eweek.com/big-data-and-analytics/natural-language-processing/">natural language processing</a> tasks, language models generate responses based solely on patterns and information in their training data. While this approach has shown impressive results, it also comes with limitations, such as the potential for generating incorrect or biased output, especially when dealing with complex or ambiguous queries.</p>
1206. <p>Retrieval-augmented generation is a technique that addresses this issue by combining the power of both natural language processing and information retrieval.</p>
1207. <p>Imagine trying to write a research paper without access to the Internet or any external resources. You may have a general understanding of the topic, but to support your arguments and provide in-depth analysis, you need to consult various sources of information.</p>
1208. <p>This is where RAG comes in — it acts as your research assistant, helping you access and integrate relevant information to enhance the quality and depth of your work.</p>
1209. <p><a href="https://www.eweek.com/artificial-intelligence/large-language-model/">Large language models</a> (LLMs) are trained on vast volumes of data. They are like well-read individuals who have a broad understanding of various topics and subjects. They can provide general information and answer various queries based on their vast knowledge-base. But to generate more precise, reliable, and detailed responses backed up by specific evidence or examples, LLMs often need the assistance of RAG techniques. This is similar to how even the most knowledgeable person may need to consult references or sources to provide thorough and accurate responses in certain situations.</p>
1210. <p><em><strong>To gain a deeper understanding of today&#8217;s top large language models, read our guide to <a href="https://www.eweek.com/artificial-intelligence/best-large-language-models">Best Large Language Models</a></strong></em></p>
1211. <h2><strong>How Retrieval-Augmented Generation Works in Practice</strong></h2>
1212. <p>Retrieval-augmented generation (RAG) is a <a href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/">AI model architecture</a> that combines the strengths of pre-trained parametric models (like transformer-based models) with non-parametric memory retrieval, enabling the generation of text conditioned on both the input prompt and external knowledge sources.</p>
1213. <p>The workability of the RAG model starts from the user query or prompt. The retrieval model is activated when you type your questions into your generative AI text field.</p>
1214. <h3><strong>Query Phase</strong></h3>
1215. <p>In the query or prompt phase, the system searches a large knowledge source to find relevant information based on the input query or prompt. This knowledge source could be a collection of documents, a database, or any other structured or unstructured data repository. It could also be your company knowledge base.</p>
1216. <p>For example, if the input query is &#8220;What are the symptoms of COVID-19?&#8221; the RAG system would search and retrieve relevant information from a database of medical documents or articles.</p>
1217. <figure id="attachment_224466" aria-describedby="caption-attachment-224466" style="width: 800px" class="wp-caption aligncenter"><img decoding="async" class="wp-image-224466 size-full" src="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-what-is-retrieval-augmented-generation-rag-figure_a.jpg" alt="Retrieval augmented generation (RAG) diagram." width="800" height="474" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-what-is-retrieval-augmented-generation-rag-figure_a.jpg 800w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-what-is-retrieval-augmented-generation-rag-figure_a-300x178.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-what-is-retrieval-augmented-generation-rag-figure_a-768x455.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-what-is-retrieval-augmented-generation-rag-figure_a-696x412.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-what-is-retrieval-augmented-generation-rag-figure_a-709x420.jpg 709w" sizes="(max-width: 800px) 100vw, 800px" /><figcaption id="caption-attachment-224466" class="wp-caption-text">Image: AWS</figcaption></figure>
1218. <h3><strong>Retrieval</strong></h3>
1219. <p>Once the relevant information is found, the RAG system selects a set of candidate passages or documents likely to contain useful information for generating a response. This step helps filter out irrelevant or redundant information and only picks the most relevant answer to your question.</p>
1220. <p>In the COVID-19 example, the system might select passages from medical articles that list common symptoms associated with the disease.</p>
1221. <h3><strong>Generation Phase</strong></h3>
1222. <p>In the generation phase, the result is returned to the user. RAG uses the selected candidate passages as context to generate a response or text.</p>
1223. <p>This generation process can be based on various techniques, such as neural language models (e.g., GPT) or other generation architectures. The generated response should be coherent, relevant, and informative based on the input query and the retrieved context.</p>
1224. <h2><strong>3 Key Benefits of Retrieval-Augmented Generation</strong></h2>
1225. <h3><strong>Reduction of Response Bias</strong></h3>
1226. <p>RAG systems can mitigate the effects of bias inherent in any single dataset or knowledge repository by retrieving information from diverse sources. This helps provide more balanced and objective responses as the system considers a broader range of perspectives and viewpoints. By promoting inclusivity and diversity in the retrieved content, RAG models create fairer and more equitable interactions.</p>
1227. <h3><strong>Reduced Risk of Hallucinations</strong></h3>
1228. <p>Hallucinations refer to the generation of incorrect or nonsensical information by large language models. RAG systems mitigate this risk by incorporating real-world information retrieved from external knowledge sources.</p>
1229. <p>By retrieving and grounding responses in verified, external information, RAG models are less likely to generate hallucinatory content. This reliance on external context helps ensure that the generated responses are grounded in reality and aligned with factual information, reducing the likelihood of producing inaccurate or misleading output.</p>
1230. <h3><strong>Improved Response Quality</strong></h3>
1231. <p>The RAG technique can generate relevant, fluent, and coherent responses by combining retrieval and generation techniques, leading to higher-quality outputs than purely generative-based approaches. Clearly, even the best LLM has its limitations – RAG is the technology needed to add a deeper knowledge base.</p>
1232. <h2><strong>When to Use RAG vs. Fine-Tuning an AI Model</strong></h2>
1233. <p>This chart summarizes the considerations for choosing between RAG and fine-tuning an AI model based on various aspects.</p>
1234. <table style="width: 100%;">
1235. <tbody>
1236. <tr>
1237. <th style="width: 30%; text-align: center;">Criteria</th>
1238. <th style="width: 35%; text-align: center;">RAG</th>
1239. <th style="width: 35%; text-align: center;">Fine-Tuning an AI Model</th>
1240. </tr>
1241. <tr>
1242. <td><strong>External knowledge access</strong></td>
1243. <td>Suitable for tasks requiring access to external knowledge sources.</td>
1244. <td>May not require external knowledge access.</td>
1245. </tr>
1246. <tr>
1247. <td><strong>Knowledge integration</strong></td>
1248. <td>Excels in integrating external knowledge into generated responses, providing more comprehensive and informative outputs.</td>
1249. <td>May struggle to incorporate external knowledge beyond what is encoded in the fine-tuning data, potentially leading to less diverse or contextually relevant responses.</td>
1250. </tr>
1251. <tr>
1252. <td><strong>Performance trade-off</strong></td>
1253. <td>Offers a trade-off between response latency and information richness, with longer response times potentially resulting in more comprehensive and contextually relevant outputs.</td>
1254. <td>Provides faster response times but may sacrifice some degree of contextual understanding and knowledge integration compared to RAG.</td>
1255. </tr>
1256. <tr>
1257. <td><strong>Nature of task</strong></td>
1258. <td>Suitable for tasks requiring access to external knowledge sources and contextual understanding, such as question answering, dialogue systems, and content generation.</td>
1259. <td>Ideal for tasks where the model needs to specialize in a specific domain or perform a narrow range of tasks, such as sentiment analysis or named entity recognition.</td>
1260. </tr>
1261. <tr>
1262. <td><strong>Interpretability</strong></td>
1263. <td>Offers transparent access to retrieved knowledge sources, allowing users to understand the basis for generated responses.</td>
1264. <td>Low interpretability.</td>
1265. </tr>
1266. <tr>
1267. <td><strong>Latency requirements</strong></td>
1268. <td>Retrieval process may introduce latency, especially when accessing large knowledge sources, but generation itself can be fast once the context is obtained.</td>
1269. <td>Generally faster inference times, as the model is fine-tuned to the specific task and may require less external data retrieval during inference.</td>
1270. </tr>
1271. </tbody>
1272. </table>
1273. <h2><strong>How is Retrieval-Augmented Generation Being Used Today?</strong></h2>
1274. <h3><strong>Question Answering Systems</strong></h3>
1275. <p>RAG models are used in question answering systems to provide more accurate and context-aware responses to user queries. These systems can be deployed in customer support chatbots, <a href="https://www.eweek.com/artificial-intelligence/best-ai-meeting-assistants/">virtual AI assistants</a>, and search engines to deliver relevant information to users in natural language.</p>
1276. <h3><strong>Search Augmentation</strong></h3>
1277. <p>RAG can enhance traditional search engines by providing more contextually relevant results. Instead of simply matching keywords, it retrieves relevant passages from a larger database and generates responses that are more tailored to the user&#8217;s query.</p>
1278. <h3><strong>Knowledge Engines</strong></h3>
1279. <p>RAG can power knowledge engines where users can ask questions in natural language and receive well-informed responses. This is particularly useful in domains with a large amount of structured or unstructured data, such as healthcare, law, finance, or scientific research.</p>
1280. <h2><strong>RAG vs. Traditional Approaches</strong></h2>
1281. <p>Traditional question and answer approaches rely heavily on keyword matching for information retrieval, which can lead to limitations in accurately understanding user queries and providing relevant results.</p>
1282. <p>In contrast, RAG offers a more advanced and contextually aware approach to information retrieval. Instead of relying solely on keyword matching, RAG leverages a combination of techniques, including natural language understanding and <a href="https://www.eweek.com/big-data-and-analytics/machine-learning/">machine learning</a>, to comprehend the semantics and context of user queries. This allows RAG to provide more accurate and relevant results by understanding the intent behind the query rather than just matching keywords.</p>
1283. <h2><strong>Bottom Line: Embracing the Potential of RAG</strong></h2>
1284. <p>Retrieval-augmented generation holds significant promise for transforming various aspects of natural language processing and text generation tasks. By incorporating the strengths of retrieval-based and generation-based models, RAG can improve the quality, coherence, and relevance of generated text.</p>
1285. <p>Embracing RAG&#8217;s potential can lead to more effective and human-like interactions with AI systems, better question answering systems, and enhanced content creation capabilities. This approach can also help address common AI challenges by generating more diverse and informative responses, reducing biases in generated text, and improving the overall performance of language models.</p>
1286. <p><em><b style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">For more information about generative AI providers, read our in-depth guide: </b><a style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=generative-ai-companies-top-12-leaders"><b>Generative AI Companies: Top 20 Leaders</b></a></em></p>
1287. <p>The post <a href="https://www.eweek.com/artificial-intelligence/what-is-retrieval-augmented-generation-rag/">What is Retrieval-Augmented Generation? How it Works &#038; Use Cases</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
1288. ]]></content:encoded>
1292. </item>
1293. <item>
1294. <title>Ultimate Guide to AI Deepfake Technology</title>
1295. <link>https://www.eweek.com/artificial-intelligence/deepfake/</link>
1297. <dc:creator><![CDATA[Collins Ayuya]]></dc:creator>
1298. <pubDate>Fri, 19 Apr 2024 00:01:36 +0000</pubDate>
1299. <category><![CDATA[Artificial Intelligence]]></category>
1300. <category><![CDATA[Latest News]]></category>
1301. <category><![CDATA[AI]]></category>
1302. <category><![CDATA[artificial intelligence]]></category>
1303. <category><![CDATA[deepfake]]></category>
1304. <guid isPermaLink="false">https://www.eweek.com/?p=224469</guid>
1305.  
1306. <description><![CDATA[<p>A deepfake is a type of synthetic media where the likeness of someone in an existing image or video is replaced with someone else’s likeness using artificial intelligence. This technology utilizes sophisticated AI algorithms to create or manipulate audio and video content with a high degree of realism. Deepfake technology represents one of the most [&#8230;]</p>
1307. <p>The post <a href="https://www.eweek.com/artificial-intelligence/deepfake/">Ultimate Guide to AI Deepfake Technology</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
1308. ]]></description>
1309. <content:encoded><![CDATA[<p>A deepfake is a type of synthetic media where the likeness of someone in an existing image or video is replaced with someone else’s likeness using artificial intelligence. This technology utilizes sophisticated AI algorithms to create or manipulate audio and video content with a high degree of realism.</p>
1310. <p>Deepfake technology represents one of the most intriguing – and controversial – advancements in artificial intelligence today. As deepfakes become more accessible and their quality continues to improve, they pose significant challenges and opportunities across various sectors, including media, entertainment, and security.</p>
1311. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
1312. <p class="ez-toc-title">TABLE OF CONTENTS</p>
1313. <label for="ez-toc-cssicon-toggle-item-662b2c0920dd1" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c0920dd1"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/deepfake/#understanding-deepfakes" title="Understanding Deepfakes">Understanding Deepfakes</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/deepfake/#significance-of-deepfakes" title="Significance of Deepfakes">Significance of Deepfakes</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/deepfake/#history-and-development-of-deepfake-technology" title="History and Development of Deepfake Technology">History and Development of Deepfake Technology</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/deepfake/#how-deepfakes-work" title="How Deepfakes Work">How Deepfakes Work</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/deepfake/#current-technologies-required-to-create-a-deepfake" title="Current Technologies Required to Create a Deepfake">Current Technologies Required to Create a Deepfake</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/deepfake/#how-deepfakes-differs-from-media-editing" title="How Deepfakes Differs from Media Editing">How Deepfakes Differs from Media Editing</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/deepfake/#3-positive-deepfake-examples" title="3 Positive Deepfake Examples">3 Positive Deepfake Examples</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-8" href="https://www.eweek.com/artificial-intelligence/deepfake/#3-malicious-deepfake-examples" title="3 Malicious Deepfake Examples">3 Malicious Deepfake Examples</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-9" href="https://www.eweek.com/artificial-intelligence/deepfake/#deepfake-ethical-and-social-implications" title="Deepfake Ethical and Social Implications">Deepfake Ethical and Social Implications</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-10" href="https://www.eweek.com/artificial-intelligence/deepfake/#legal-and-regulatory-perspectives-on-deepfakes" title="Legal and Regulatory Perspectives on Deepfakes">Legal and Regulatory Perspectives on Deepfakes</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-11" href="https://www.eweek.com/artificial-intelligence/deepfake/#3-current-technologies-for-detecting-a-deepfake" title="3 Current Technologies for Detecting a Deepfake">3 Current Technologies for Detecting a Deepfake</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-12" href="https://www.eweek.com/artificial-intelligence/deepfake/#4-methodologies-for-deepfake-detection" title="4 Methodologies for Deepfake Detection">4 Methodologies for Deepfake Detection</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-13" href="https://www.eweek.com/artificial-intelligence/deepfake/#challenges-and-limitations-in-detecting-deepfakes" title="Challenges and Limitations in Detecting Deepfakes">Challenges and Limitations in Detecting Deepfakes</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-14" href="https://www.eweek.com/artificial-intelligence/deepfake/#5-ways-to-spot-a-deepfake" title="5 Ways to Spot a Deepfake">5 Ways to Spot a Deepfake</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-15" href="https://www.eweek.com/artificial-intelligence/deepfake/#build-protection-against-deepfakes-next-step-strategies-and-recommendations" title="Build Protection Against Deepfakes: Next-Step Strategies and Recommendations">Build Protection Against Deepfakes: Next-Step Strategies and Recommendations</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-16" href="https://www.eweek.com/artificial-intelligence/deepfake/#bottom-line-navigating-deepfake-technology" title="Bottom Line: Navigating Deepfake Technology">Bottom Line: Navigating Deepfake Technology</a></li></ul></nav></div>
1314.  
1315. <h2><strong>Understanding Deepfakes</strong></h2>
1316. <p>Creators of deepfakes use software that leverages advanced <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/">artificial intelligence</a> and <a href="https://www.eweek.com/artificial-intelligence/deep-learning-pros-cons/">deep learning</a> techniques, generative adversarial networks (GANs) in particular, to create or alter video and audio content convincingly.</p>
1317. <p>If you’ve been spending a considerable amount of time online over the past few years, you’ll have noticed that this technology started becoming popular in the contexts of celebrity videos and politics. But it’s now expanded its reach across various sectors, including entertainment, politics, and education.</p>
1318. <p>Deepfakes are created by training AI systems with large datasets of images, videos, or audio clips to recognize patterns in facial movements, voice modulation, and other physical attributes. The AI then applies this learned data to new content, superimposing one person’s likeness onto another person&#8217;s with striking realism. While the technology showcases remarkable advancements in AI, it also raises significant ethical and security concerns due to its potential for misuse, such as creating false representations of individuals saying or doing things they never did.</p>
1319. <figure id="attachment_224473" aria-describedby="caption-attachment-224473" style="width: 1000px" class="wp-caption alignnone"><img decoding="async" class="wp-image-224473 size-full" src="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_a.jpg" alt="A deepfake of Liam Hemsowrth’s face superimposed on Henry Cavill’s character, Geralt of Rivia on the show The Witcher." width="1000" height="628" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_a.jpg 1000w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_a-300x188.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_a-768x482.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_a-696x437.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_a-669x420.jpg 669w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption id="caption-attachment-224473" class="wp-caption-text">Image: A deepfake of Liam Hemsowrth’s face superimposed on Henry Cavill’s character, Geralt of Rivia on the show The Witcher.</figcaption></figure>
1320. <h2><strong>Significance of Deepfakes</strong></h2>
1321. <p>Deepfake technology has far-reaching implications across various domains, from politics and security to entertainment. This technology creates serious risks because it has the power to fabricate highly realistic videos and audio recordings that misrepresent people in all walks of life.</p>
1322. <p>Deepfakes have raised alarms in the political sphere as they can be used to create misleading or false information, potentially influencing elections and public opinion. They threaten national security by enabling the spread of misinformation and potentially destabilizing political processes.</p>
1323. <p>Similarly, during election seasons, deepfakes have been identified as highly effective tools that could impact voter behavior by disseminating fraudulent misinformation, especially as the quality of deepfakes improves over time.</p>
1324. <p>In the context of media and public perception, there’s no denying that deepfakes can be used to enhance storytelling and create engaging content. However, they also risk undermining public trust in the media.</p>
1325. <p>For example, unauthorized use of celebrity likenesses or manipulation of news footage can lead to confusion and mistrust among the public. This opens up an array of legal and ethical problems. Deepfakes challenge the concept of truth in digital media and raise questions about consent and privacy, especially when individuals&#8217; likenesses are used without their permission.</p>
1326. <p>This doesn&#8217;t mean that deepfakes can do no good. Risks aside, deepfakes hold potential for positive applications. They can be used in filmmaking, for educational purposes, and even in healthcare, such as creating personalized therapy sessions with avatars.</p>
1327. <p><em><strong>To see a list of the leading generative AI apps, read our guide: <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">Top 20 Generative AI Tools and Apps 2024</a></strong></em></p>
1328. <h2><strong>History and Development of Deepfake Technology</strong></h2>
1329. <p>This technology grew out of basic video manipulation techniques, which have progressed to the sophisticated use of <a href="https://www.eweek.com/artificial-intelligence/best-ai-video-generators/">AI-driven video</a> methods today.</p>
1330. <p>Initially, simple video editing software was capable of altering and stitching images and clips to create the illusion of altered reality. However, the term &#8220;deepfake&#8221; became widely recognized around 2017 when a Reddit user, known as &#8220;Deepfakes,&#8221; began sharing hyper-realistic fake videos of celebrities. This early use of deep learning technology in manipulating videos garnered significant attention and concern.</p>
1331. <p>As AI technology advanced, the development of deepfake technology saw significant milestones, particularly with the adoption of generative adversarial networks (GANs). Introduced by Ian Goodfellow and his colleagues in 2014, GANs represent a breakthrough in the field, allowing for more sophisticated and convincing deepfakes. This technology employs two <a href="https://www.eweek.com/big-data-and-analytics/neural-networks/">neural networks</a>, one generating the fake images while the other tries to detect their authenticity, continuously improving the output&#8217;s realism.</p>
1332. <p>Today, deepfake technology is built on even more complex neural networks that require enormous amounts of data and computing power to create their highly convincing fake content. This rapid advancement poses both opportunities and challenges, which underscores the need for continuous research in detection technologies and ethical frameworks to manage the impact of deepfakes on society.</p>
1333. <h2><strong>How Deepfakes Work</strong></h2>
1334. <p>Deepfake technologies operate on the backbone of advanced AI and machine learning principles, primarily through the use of <a href="https://www.eweek.com/artificial-intelligence/generative-ai-model/">generative adversarial networks</a> (GANs).</p>
1335. <h3><strong>Generative Adversarial Networks (GANs)</strong></h3>
1336. <p>GANs consist of two machine learning models: the generator and the discriminator. The generator creates images or videos that look real, while the discriminator evaluates their authenticity against a set of real images or videos, setting up an adversarial relationship between the two models.</p>
1337. <p>This adversarial process continues until the discriminator can no longer distinguish the generated images from the real ones, resulting in highly convincing deepfakes.</p>
1338. <p>GANs learn the nuances of human expressions and movements. They allow for the realistic manipulation of video content by synthesizing new content that mimics the original data&#8217;s style and detail. This makes GANs incredibly powerful at generating deceptive media that continues to be more and more indistinguishable from authentic content.</p>
1339. <h3><strong>Additional AI models</strong></h3>
1340. <p>Besides GANs, other AI models like autoencoders and neural network architectures are also employed to enhance the realism of deepfakes.</p>
1341. <p>These models assist in different aspects of the deepfake creation process, such as improving resolution, refining facial expressions, and ensuring lip synchronization in video deepfakes. All these come together to significantly contribute to the sophistication of deepfakes, allowing them to be used in various ways, from harmless entertainment to potential tools for misinformation.</p>
1342. <h2><strong>Current Technologies Required to Create a Deepfake</strong></h2>
1343. <p>Creating deepfakes involves a combination of advanced technologies. Here are some key technologies currently used:</p>
1344. <ul>
1345. <li><strong>Generative adversarial networks (GANs):</strong> The cornerstone of deepfake technology, GANs use two neural networks that work against each other to produce increasingly realistic images or videos.</li>
1346. <li><strong>Autoencoders:</strong> These neural networks are used for learning efficient data coding in an unsupervised manner. For deepfakes, they help in compressing and decompressing the images to maintain quality while manipulating them.</li>
1347. <li><strong>Machine learning algorithms:</strong> Various algorithms analyze thousands of images or video frames to understand and replicate patterns of human gestures and facial expressions.</li>
1348. <li><strong>Facial recognition and tracking:</strong> This technology is crucial for identifying and tracking facial features to seamlessly swap faces or alter expressions in videos.</li>
1349. <li><strong>Voice synthesis and audio processing:</strong> Advanced audio AI tools are employed to clone voices and sync them accurately with video to produce realistic audio that matches the video content.</li>
1350. <li><strong>Video editing software:</strong> Although not always AI-driven, sophisticated video editing tools are often used alongside AI technologies to refine the outputs and make adjustments that enhance realism.</li>
1351. </ul>
1352. <p>Such technologies are often integrated into platforms and applications to make it easier to create deepfakes. This approach also makes them accessible not just to professionals in visual effects but increasingly to the general public. Some examples of these platforms include DeepFaceLab, FaceSwap, and Reface.</p>
1353. <p><em><b style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">For more information about generative AI providers, read our in-depth guide: </b><a style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=generative-ai-companies-top-12-leaders"><b>Generative AI Companies: Top 20 Leaders</b></a></em></p>
1354. <h2><strong>How Deepfakes Differs from Media Editing</strong></h2>
1355. <p>Deepfake technology and traditional editing software have one thing in common: They both manipulate digital media. But the difference lies in how they accomplish this task.</p>
1356. <h3><strong>Editing Software</strong></h3>
1357. <p>Traditional video editing software, such as Adobe Premiere Pro or Final Cut Pro, allows users to cut, splice, overlay, and adjust videos manually. They rely on human input to make changes to media files, which can include anything from adjusting color and lighting to inserting new visual elements.</p>
1358. <p>While powerful, these applications need great skill and effort to create convincing manipulations, let alone when altering someone&#8217;s appearance or actions in a video.</p>
1359. <h3><strong>Deepfake Technology</strong></h3>
1360. <p>In contrast, deepfake technology automates the manipulation process using artificial intelligence. Deepfakes are designed to create photorealistic alterations automatically by training AI models on a dataset of images or videos.</p>
1361. <p>This training enables the AI to generate new content where faces, voices, and even body movements can be swapped or entirely fabricated with high precision, without the need for frame-by-frame manual adjustments.</p>
1362. <h3><strong>Impact and Implications</strong></h3>
1363. <p>The takeaway is that deepfake technology enables photorealism with minimal human intervention, which standard editing software can’t guarantee even with an expert editor.</p>
1364. <p>Deepfakes can be created faster and with potentially less detectable signs of manipulation, raising concerns about their use for misinformation, fraud, or harassment. Editing software, while also capable of significant manipulation, generally results in changes that can be more easily spotted and usually requires more time and technical skill to match similar levels of realism.</p>
1365. <h2><strong>3 Positive Deepfake Examples</strong></h2>
1366. <p>Deepfake technology, despite its potential for misuse, has also been applied in positive and innovative ways across various fields.</p>
1367. <h3><strong>Filmmaking and Entertainment</strong></h3>
1368. <p>One of the most intuitive and sensible examples of deepfake technology use has been used to enhance visual effects in films and television. For instance, it was used to recreate performances or to de-age actors in movies such as &#8220;The Irishman,&#8221; where Robert De Niro’s younger version was realistically portrayed using deepfake technology.</p>
1369. <p>DeepFaceLab has been commonly used by professionals and amateurs to achieve these high-quality visual effects in filmmaking.</p>
1370. <h3><strong>Education and Training</strong></h3>
1371. <p>Deepfakes can be used to create interactive educational content, making historical figures or fictional characters come to life. This application can provide a more engaging learning experience in settings ranging from classroom teachings to professional training scenarios.</p>
1372. <p>An example of a platform that can be used in this manner is Synthesia, an AI video generation platform that educators use to create custom educational videos featuring deepfake avatars.</p>
1373. <h3><strong>Healthcare and Therapy</strong></h3>
1374. <p>In the medical field, deepfake technology helps in creating personalized therapy sessions where therapists can be deepfaked to resemble someone the patient trusts with the goal of making therapy more effective. It can also be used to design molecules that can potentially treat diseases. A platform like Pharma.ai takes such an approach.</p>
1375. <h2><strong>3 Malicious Deepfake Examples</strong></h2>
1376. <p>On the flip side, deepfakes have also been used for malicious purposes. Some of the most devastating ones include:</p>
1377. <h3><strong>Political Misinformation</strong></h3>
1378. <p>Deepfakes have been utilized to create fake videos of politicians saying or doing things they never did. This spreads misinformation and quite easily manipulates public opinion.</p>
1379. <p>For instance, a deepfake video could portray a political figure making inflammatory statements or endorsing policies they never supported. This could potentially sway elections and possibly cause public unrest.</p>
1380. <h3><strong>Financial Fraud</strong></h3>
1381. <p>In the financial sector, deepfakes can and have been used to impersonate CEOs and other high-profile executives in videos to manipulate stock prices or commit fraud. Of course these videos have to be incredibly convincing to create significant financial losses for companies and investors.</p>
1382. <h3><strong>Image Abuse</strong></h3>
1383. <p>Celebrities and public figures are often targets of deepfakes, where their likenesses are used without consent to create inappropriate or harmful content. This not only invades their privacy but also damages their public image and can lead to legal battles. Unauthorized deepfake videos of celebrities involved in fictitious or compromising situations spread across social media and other platforms and have been a popular – but controversial – use of this technology.</p>
1384. <h2><strong>Deepfake Ethical and Social Implications</strong></h2>
1385. <p>Deepfake technology significantly impacts truth and trust in digital content, challenging our ability to discern real from manipulated media.</p>
1386. <h3><strong>Truth and Trust</strong></h3>
1387. <p>The highly realistic and convincing fake media from deepfakes erodes public trust in digital content – even as deepfakes continue to grow in sophistication.</p>
1388. <p>The distinction between real and fake was already almost indistinguishable to many viewers. With greater sophistication, it’s going to be even more difficult to spot the fakes, which will lead to more general skepticism and mistrust of all media. This complicates the public&#8217;s ability to make informed decisions and undermines democratic processes through the spread of disinformation.</p>
1389. <h3><strong>Liar&#8217;s Dividend</strong></h3>
1390. <p>The &#8220;Liar&#8217;s Dividend&#8221; is a troubling effect of deepfakes, where the very existence of this technology can be used as a defense by individuals to deny real, incriminating evidence against them.</p>
1391. <p>By claiming that genuine footage is a deepfake, wrongdoers can escape accountability, thus benefiting liars and eroding trust even further. This has introduced new challenges for legal systems and society, as it complicates the verification process of video and audio evidence, impacting everything from political accountability to legal proceedings.</p>
1392. <h3><strong>Public Discourse</strong></h3>
1393. <p>Deepfakes can fabricate the statements or actions of public figures to breed misinformation and confusion. This manipulation not only distorts public perception but also fans flames of polarization and social unrest.</p>
1394. <p>As a consequence, the growth of deepfake technology presents an ethical dilemma that demands urgent discussions on regulations along with the development of robust detection technologies. Otherwise, the integrity of information will be eroded and individuals will increasingly be subject to defamation and unwarranted scandals.</p>
1395. <h2><strong>Legal and Regulatory Perspectives on Deepfakes</strong></h2>
1396. <h3><strong>Current Laws and Frameworks</strong></h3>
1397. <p>Various countries are navigating the complex challenges posed by deepfakes by implementing specific laws aimed at their misuse.</p>
1398. <p>For instance, in the United States, states like California have enacted laws that make it illegal to distribute non-consensual deepfake pornography. Additionally, at least 14 states have introduced legislation to fight the threats that deepfakes bring to elections, including some that have made it illegal to use deepfakes for election interference, keeping in mind that the 2024 election cycle is in full swing. This number is up from just three states in 2023 that had set laws to regulate AI and deepfakes in politics.</p>
1399. <p>Meanwhile, the European Union is considering regulations that would require AI systems, including those used to create deepfakes, to be transparent and traceable to ensure accountability.</p>
1400. <h3><strong>Global Approaches to Regulation</strong></h3>
1401. <p>The global response to regulating AI and deepfake content varies. In Europe, the AI Act represents a pioneering regulatory framework that not only bans high-risk <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">AI applications</a> but also mandates AI systems to adhere to fundamental European values. This legislation reflects a proactive approach to governance that prioritizes human rights and transparency.</p>
1402. <p>Meanwhile, China&#8217;s approach to AI regulation focuses on striking a balance between control and innovation while also addressing global AI challenges such as fairness, transparency, safety, and accountability. The nation&#8217;s regulatory framework is designed to manage the rapid advancement of AI technologies, including deepfakes, to make sure that they align with national security and public welfare standards without stifling technological progress.</p>
1403. <p>These examples reflect awareness that citizens across the globe see a growing need for collaborative regulatory approaches to address the complex, cross-border nature of digital information and AI.</p>
1404. <h2><strong>3 Current Technologies for Detecting a Deepfake</strong></h2>
1405. <p>The development of tools to detect deepfakes has become crucial in the battle against digital misinformation. Here are some of the key tools currently employed to identify and counteract deepfakes:</p>
1406. <h3><strong>Deepfake Detector Software</strong></h3>
1407. <p>These tools employ advanced machine learning algorithms to detect inconsistencies typical of deepfakes. These tools analyze videos and images for anomalies in facial expressions, movement, and texture that human eyes might miss. They include Deepware Scanner, Sentinel, FakeCatcher by Intel, and Microsoft’s Video Authenticator.</p>
1408. <h3><strong>AI-Powered Verification Systems</strong></h3>
1409. <p>There are AI-powered systems that specifically target the detection of deepfakes used to manipulate election processes or spread misinformation. For example, TrueMedia&#8217;s AI verification system helps journalists and fact-checkers by comparing suspected media against verified databases to determine authenticity.</p>
1410. <h3><strong>Audio Analysis Tools</strong></h3>
1411. <p>It’s possible to analyze audio to determine the validity of video content. McAfee&#8217;s latest innovations include deepfake audio detection technology, which can accurately identify alterations in audio files, which happen to be a common component of sophisticated deepfakes. Known as “Project Mockingbird,&#8221; McAfee&#8217;s audio deepfake detector analyzes tonal inconsistencies and unnatural speech patterns to flag fake audio content.</p>
1412. <h2><strong>4 Methodologies for Deepfake Detection</strong></h2>
1413. <p>Some of the top deepfake detection methodologies are:</p>
1414. <ul>
1415. <li><strong>Error-level analysis and deep learning:</strong> This methodology combines error-level analysis with deep learning techniques to identify inconsistencies within a digital image or video that suggest manipulation. The approach analyzes compression errors across digital files and applies deep learning to recognize patterns typical of deepfakes.</li>
1416. <li><strong>Real-time deepfake detection:</strong> Some tools are designed to operate in real-time, using AI to analyze video streams and alert users to the presence of deepfakes as they are being broadcast. This is crucial for media outlets and live broadcasts where immediate verification is necessary.</li>
1417. <li><strong>Audio deepfake detection:</strong> Focusing on the auditory aspects of deepfakes, this methodology analyzes subtle voice patterns and detects minor anomalies that may point to manipulation. It can detect an <a href="https://www.eweek.com/artificial-intelligence/best-ai-voice-generator/">AI voice generator</a>. It’s particularly useful in verifying the authenticity of audio files and protecting against scams that use voice imitation.</li>
1418. <li><strong>Multimodal detection techniques:</strong> Combining multiple data sources and sensory inputs, these techniques use a holistic approach to detect deepfakes by analyzing both audio and visual elements together. This integration helps in identifying discrepancies between the two that may go unnoticed when analyzed separately.</li>
1419. </ul>
1420. <h2><strong>Challenges and Limitations in Detecting Deepfakes</strong></h2>
1421. <ul>
1422. <li><strong>Rapid technological advancements:</strong> The pace at which deepfake technology is evolving makes it difficult for detection methods to keep up. As AI models become more sophisticated, they can generate more convincing deepfakes that are harder to detect using current methods.</li>
1423. <li><strong>Limited training data:</strong> Effective deepfake detection needs extensive datasets of fake and real content for training AI models. However, the availability of such datasets is limited, which restricts the training and effectiveness of detection algorithms.</li>
1424. <li><strong>Detection evasion techniques:</strong> As detection methods improve, so do the techniques used to evade these measures. Deepfake creators often adapt to detection methods by altering their techniques, which yields a continuous arms race between deepfake generation and detection.</li>
1425. <li><strong>Complexity in multimodal detection:</strong> Deepfakes can involve not just visual elements but also audio, making them multimodal. Effective detection needs to consider all aspects, which increases the complexity and resource requirements of detection systems.</li>
1426. </ul>
1427. <h2><strong>5 Ways to Spot a Deepfake</strong></h2>
1428. <p>Detecting deepfakes can be challenging, but there are several indicators that can help identify them. Here are some key techniques, based on a popular deepfake video of the movie Spider-Man: No Way Home, that swaps out current Spider-Man actor Tom Holland’s face with that of former Spider-Man actor Tobey Maguire.</p>
1429. <p>I used Deepware AI to test the video, which was unsurprisingly flagged as a deepfake.</p>
1430. <ul>
1431. <li><strong>Look at the faces:</strong> As we’ve established, the most common method used in deepfakes involves face swapping. You should closely examine the edges of the face for any irregularities or blurring that might indicate manipulation. This is often where deepfake technology struggles to seamlessly blend the altered face with the body. I found the tell in the image below to be just how unnervingly smooth the face is. Also, the chin is alarmingly asymmetric.</li>
1432. </ul>
1433. <figure id="attachment_224472" aria-describedby="caption-attachment-224472" style="width: 1000px" class="wp-caption alignnone"><img decoding="async" class="wp-image-224472 size-full" src="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_b.jpg" alt="An asymmetrical chin and scarily smooth face raise suspicion of a deepfake." width="1000" height="553" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_b.jpg 1000w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_b-300x166.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_b-768x425.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_b-696x385.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_b-759x420.jpg 759w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption id="caption-attachment-224472" class="wp-caption-text">An asymmetrical chin and remarkably smooth face raise suspicion of a deepfake.</figcaption></figure>
1434. <ul>
1435. <li><strong>Check for jagged face edges:</strong> Imperfections at the border of the face where it meets the hair and background can be telltale signs of a deepfake. These edges may appear jagged or unnaturally sharp compared to the rest of the image.</li>
1436. <li><strong>Assess lip sync accuracy:</strong> In videos, poor lip synchronization can be a clear indicator of a deepfake. If the movements of the mouth don&#8217;t perfectly match up with the spoken words, it could scream deepfake.</li>
1437. <li><strong>Analyze skin texture:</strong> Look for mismatches in skin texture between the face and the body. Deepfakes often fail to perfectly replicate the skin texture across different parts, which can appear inconsistent or unnatural. In this particular frame below, I found the texture of the skin to be mismatched with the scene in the video, as it made the face look computer generated.</li>
1438. </ul>
1439. <figure id="attachment_224471" aria-describedby="caption-attachment-224471" style="width: 1000px" class="wp-caption alignnone"><img decoding="async" class="wp-image-224471 size-full" src="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_c.jpg" alt="Something about the skin texture of the face makes Peter Parker look like CGI." width="1000" height="565" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_c.jpg 1000w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_c-300x170.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_c-768x434.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_c-696x393.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_c-743x420.jpg 743w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption id="caption-attachment-224471" class="wp-caption-text">Something about the skin texture of the face makes Peter Parker look like CGI.</figcaption></figure>
1440. <ul>
1441. <li><strong>Observe lighting inconsistencies:</strong> Lighting and shadows in deepfakes may not align correctly with natural light sources in the scene. Inconsistencies in how light falls on the face compared to the rest of the scene can indicate a deepfake. For instance, looking at the image below closely enough, I could notice that the lighting on the face looks unnatural.</li>
1442. </ul>
1443. <figure id="attachment_224470" aria-describedby="caption-attachment-224470" style="width: 1000px" class="wp-caption alignnone"><img decoding="async" class="wp-image-224470 size-full" src="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_d.jpg" alt="The lighting looks unnaturally softer around the face." width="1000" height="564" srcset="https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_d.jpg 1000w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_d-300x169.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_d-768x433.jpg 768w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_d-696x393.jpg 696w, https://www.eweek.com/wp-content/uploads/2024/04/ew_20240417-deepfake-figure_d-745x420.jpg 745w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption id="caption-attachment-224470" class="wp-caption-text">The lighting looks unnaturally softer around the face.</figcaption></figure>
1444. <p><em><strong>To learn about today&#8217;s top generative AI tools for the video market, see our guide: <a href="https://www.eweek.com/artificial-intelligence/best-ai-video-generators/">5 Best AI Video Generators</a></strong></em></p>
1445. <h2><strong>Build Protection Against Deepfakes: Next-Step Strategies and Recommendations</strong></h2>
1446. <p>Collaborative efforts among technology companies, policymakers, and researchers are key to developing more effective tools for detecting deepfakes and establishing ethical guidelines. Here are some initiatives and strategies to be aware of that may enhance protection against deepfake threats.</p>
1447. <h3><strong>Forge Partnerships for Advanced Detection Technologies</strong></h3>
1448. <p>To effectively combat deepfakes, you should consider partnerships that leverage the strengths of both the technology sector and academic research. Companies and universities should collaborate to innovate and refine AI algorithms capable of detecting manipulated content accurately.</p>
1449. <h3><strong>Develop and Advocate for Robust Policies and Legislation</strong></h3>
1450. <p>As stakeholders in a digital world, it’s imperative to participate in or initiate discussions around policy development that addresses the challenges posed by deepfakes. Work toward crafting legislation that balances the prevention of misuse with the encouragement of technological advancements. Engage with policymakers to ensure that any new laws are practical, effective, and inclusive of expert insights from the AI community.</p>
1451. <h3><strong>Establish Ethical Guidelines and Standards</strong></h3>
1452. <p>Take proactive steps to formulate and adhere to <a href="https://www.eweek.com/artificial-intelligence/generative-ai-ethics/">ethical AI guidelines</a> that govern the use of synthetic media. This involves setting standards that ensure transparency, secure consent, and uphold accountability in the creation and distribution of deepfakes.</p>
1453. <p>Look to organizations like the AI Foundation and academic institutions such as the MIT Media Lab to develop these ethical practices. Encourage widespread adoption and compliance across industries to foster responsible innovation and maintain public trust in digital content.</p>
1454. <p>By adopting these strategies, you can contribute to building a resilient framework against deepfakes, ensuring AI is ethically used, and safeguarding the integrity of digital media. These actions not only help mitigate the risks associated with deepfakes, they also promote a culture of responsibility and innovation in artificial intelligence.</p>
1455. <h2><strong>Bottom Line: Navigating Deepfake Technology</strong></h2>
1456. <p>Deepfake technology presents transformational innovative possibilities, but it’s often overshadowed by the challenges it presents.</p>
1457. <p>There’s no denying the immense potential of deepfakes to enhance areas such as entertainment, education, and even healthcare. However, the risks associated with their misuse in spreading misinformation and violating personal privacy cannot be overlooked. To ensure that the development and application of deepfake technology benefit society as a whole, we need to champion an approach involving innovation, rigorous ethical standards, and proactive regulatory measures.</p>
1458. <p><em><strong>For a full portrait of the AI vendors serving a wide array of business needs, read our in-depth guide: <a href="https://www.eweek.com/artificial-intelligence/ai-companies/">150+ Top AI Companies 2024</a></strong></em></p>
1459. <p>The post <a href="https://www.eweek.com/artificial-intelligence/deepfake/">Ultimate Guide to AI Deepfake Technology</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
1460. ]]></content:encoded>
1464. </item>
1465. <item>
1466. <title>AI Model Optimization: 6 Key Techniques</title>
1467. <link>https://www.eweek.com/artificial-intelligence/ai-model-optimization/</link>
1469. <dc:creator><![CDATA[Collins Ayuya]]></dc:creator>
1470. <pubDate>Wed, 17 Apr 2024 23:04:35 +0000</pubDate>
1471. <category><![CDATA[Artificial Intelligence]]></category>
1472. <category><![CDATA[Latest News]]></category>
1473. <guid isPermaLink="false">https://www.eweek.com/?p=224432</guid>
1474.  
1475. <description><![CDATA[<p>Empower your AI with optimization. Discover 6 strategies to enhance efficiency through AI model optimization.</p>
1476. <p>The post <a href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/">AI Model Optimization: 6 Key Techniques</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
1477. ]]></description>
1478. <content:encoded><![CDATA[<p>While AI modeling involves building computational models that enable AI software to learn from data and create content, AI model optimization techniques enhance the efficiency and effectiveness of these artificial intelligence systems.</p>
1479. <p>The process of optimizing an AI model is crucial to create AI models that are high performing, consume reasonable amounts of resources, and are highly applicable to complex real-world scenarios. From model optimization strategies like model pruning to regularization, it’s possible to fine tune models to not only perform more accurately in rigorous use cases but also leverage the full potential of AI.</p>
1480. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
1481. <p class="ez-toc-title">TABLE OF CONTENTS</p>
1482. <label for="ez-toc-cssicon-toggle-item-662b2c0925cc0" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c0925cc0"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/#6-top-ai-model-optimization-strategies" title="6 Top AI Model Optimization Strategies">6 Top AI Model Optimization Strategies</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/#aio-ai-optimization-and-process-improvement" title="AIO (AI Optimization) and Process Improvement">AIO (AI Optimization) and Process Improvement</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/#importance-of-ai-model-optimization" title="Importance of AI Model Optimization">Importance of AI Model Optimization</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/#6-common-challenges-of-ai-model-optimization" title="6 Common Challenges of AI Model Optimization">6 Common Challenges of AI Model Optimization</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/#key-applications-showcasing-ais-role-in-process-streamlining" title="Key Applications Showcasing AI&#8217;s Role in Process Streamlining">Key Applications Showcasing AI&#8217;s Role in Process Streamlining</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/#frequently-asked-questions-faqs-ai-model-optimization" title="Frequently Asked Questions (FAQs): AI Model Optimization">Frequently Asked Questions (FAQs): AI Model Optimization</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/#bottom-line-maximizing-potential-with-ai-model-optimization" title="Bottom Line: Maximizing Potential with AI Model Optimization">Bottom Line: Maximizing Potential with AI Model Optimization</a></li></ul></nav></div>
1483.  
1484. <h2><strong>6 Top AI Model Optimization Strategies</strong></h2>
1485. <p>Model optimization in <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/">artificial intelligence</a> is about refining algorithms to improve their performance, reduce computational costs, and ensure their fitness for real-world business uses. It involves various techniques that address overfitting, underfitting, and the efficiency of the model to ensure that the AI system is both accurate and resource-efficient.</p>
1486. <p>However, <a href="https://www.eweek.com/artificial-intelligence/generative-ai-model/">AI model</a> optimization can be complex and difficult. It includes challenges like balancing accuracy with computational demand, dealing with limited data, and adapting models to new or evolving tasks. These challenges show just how much businesses have to keep innovating to maintain the effectiveness of AI systems.</p>
1487. <p>Here are some of the strategies that enable us to optimize AI models.</p>
1488. <h3><strong>Retraining on Better Data</strong></h3>
1489. <p>The quality of the AI model is an amplified reflection of the quality of the data. Therefore, retraining AI models on enhanced datasets — datasets rich in quality, diversity, and relevance — is foundational for optimization. These enhanced datasets have minimal noise and errors and represent a wide range of scenarios and outcomes. They are also closely aligned with the current dynamics of their problem spaces, such as trends and scenarios.</p>
1490. <p>This ensures that models are updated with the latest information, which means that they can make more accurate predictions and adapt to not only changing data landscapes but also evolving use cases. It also makes sure models are adaptable to new trends, which is indispensable in fast changing fields like social media trend analysis and market forecasting.</p>
1491. <p><em><strong>To gain a deeper understanding of today&#8217;s top large language models, read our guide to <a href="https://www.eweek.com/artificial-intelligence/best-large-language-models">Best Large Language Models</a></strong></em></p>
1492. <h3><strong>Deployment Modification</strong></h3>
1493. <p>This strategy is based on adjusting the operating environment of the AI model to enhance performance and efficiency. In terms of hardware, deployment modification can involve changes to configurations, such as upgrading to more powerful processors or GPUs to accelerate computation. You can also look to optimize the software environment, such as by selecting more efficient libraries or frameworks that are a better fit for your underlying hardware.</p>
1494. <p>Additionally, deployment modifications might involve containerization of AI models using technologies like Docker, which allows for more scalable and manageable deployments across different platforms. Another technique to consider here is quantization, which converts models from floating-point to lower-precision formats to reduce model size and improve inference speed, especially on edge devices.</p>
1495. <h3><strong>Source Code Enhancements</strong></h3>
1496. <p>Refining the source code is all about enhancing the underlying algorithms and computational processes of AI models for substantial efficiency gains. It could involve adopting more efficient data structures, utilizing parallel computing, or leveraging specialized hardware accelerators like GPUs. Efficient data structures such as hash maps can greatly shorten lookup times for frequent operations, especially in use cases like online recommendation systems where models need to process large data amounts in real time.</p>
1497. <p>Parallel computing, on the other hand, divides complex tasks into smaller ones that can be solved concurrently instead of sequentially, which greatly speeds up the model training and inference processes. For example, in training deep <a href="https://www.eweek.com/big-data-and-analytics/neural-networks/">neural networks</a>, the computation of gradients for different batches of data can be parallelized, greatly reducing training time.</p>
1498. <p>By streamlining algorithms, removing redundant code, and employing more efficient computing practices, AI models can run faster and more reliably.</p>
1499. <p><img decoding="async" class="aligncenter wp-image-224497" src="https://www.eweek.com/wp-content/uploads/2024/04/optimize-AI-model-300x234.jpg" alt="" width="647" height="504" srcset="https://www.eweek.com/wp-content/uploads/2024/04/optimize-AI-model-300x234.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/optimize-AI-model-1024x800.jpg 1024w, https://www.eweek.com/wp-content/uploads/2024/04/optimize-AI-model-768x600.jpg 768w" sizes="(max-width: 647px) 100vw, 647px" /></p>
1500. <p><em>An example of source code modification to optimize an AI model. In many cases, optimizing an AI model involves revising source code. </em></p>
1501. <h3><strong>Model Pruning</strong></h3>
1502. <p>Complexity, thanks to redundant and insignificant parameters, can not only make an AI model slower but also less accurate. As a result, to reduce this complexity, model pruning involves trimming down the AI model by removing non-essential features and parameters. This streamlining process can lead to faster inference times and lower memory requirements while maintaining or even improving its predictive accuracy.</p>
1503. <p>In practice, in the context of neural networks, pruning can be carried out after training a model by systematically removing weights that have the least effect on the output. This is known as weight pruning and can be carried out across all layers or within each layer of a neural network. You can also choose an approach that eliminates entire neurons or layers that contribute minimally to the model&#8217;s output, known as neuron pruning.</p>
1504. <h3><strong>Data Set Distillation</strong></h3>
1505. <p>Data set distillation condenses the information contained in large training datasets into smaller, more manageable forms without losing the essential patterns needed for model training. This technique allows models to be trained faster and with less computational overhead, which leads to more rapid development cycles and enables efficient retraining as new data becomes available.</p>
1506. <p>The essence of distillation lies in its ability to transfer the &#8216;knowledge&#8217; from a comprehensive dataset to a model trained on a distilled, smaller dataset. Simply put, it involves identifying the key patterns, trends, and relationships within a large data set and encapsulating this information into a smaller subset, and the smaller subset retains the key features for the model’s training, which ensures that the model can still learn effectively even with the much lower data volume. This makes sure the model remains effective and far more efficient in terms of training time and resource usage.</p>
1507. <h3><strong>Regularization</strong></h3>
1508. <p>Regularization techniques like L1 and L2 regularization address overfitting by adding a penalty to the loss function used to train the model. This discourages overly complex models that might overfit the training data. By encouraging simpler models, regularization helps ensure that AI systems generalize better to unseen data, improving their reliability and performance in real-world applications.</p>
1509. <p>L1 regularization, also known as Lasso, can lead to models that only retain significant features, otherwise known as sparse models, by driving certain coefficients to zero, which results in effective feature selection.</p>
1510. <p>L2 regularization, or Ridge regression, minimizes coefficient values without making them zero, which stabilizes the model by distributing weight among features. This helps distribute the model&#8217;s reliance on its features more evenly, which can lead to more stable predictions. It also ensures that the model isn’t overly dependent on a small number of features.</p>
1511. <p>Optimization is vital for the practical deployment of AI models. Its greatest importance is making sure AI models perform optimally while using resources sensibly. It&#8217;s an essential step in AI development that enables models to scale efficiently, adapt to new data, and maintain high levels of accuracy and reliability over time to maximize the success of AI initiatives across various domains.</p>
1512. <p><em><b style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">For more information about generative AI providers, read our in-depth guide: </b><a style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=generative-ai-companies-top-12-leaders"><b>Generative AI Companies: Top 20 Leaders</b></a></em></p>
1513. <h2><strong>AIO (AI Optimization) and Process Improvement</strong></h2>
1514. <p>AI optimization (AIO) simply means using AI to improve the efficiency of operation or proces. Based on context, this factor can be an AI model or even AI’s role in improving tasks and processes in a particular AI use case.</p>
1515. <p>AIO involves iterative processes and methodologies for fine-tuning AI systems, ensuring they not only meet but exceed their intended objectives, which ensures that AI solutions that are both effective and resource-conscious are deployed.</p>
1516. <p>In the context of AI model optimization, AIO applies advanced algorithms and techniques to improve model accuracy, reduce latency, and lower the computational costs associated with AI deployments. By addressing issues like overfitting, underfitting, and model complexity, AIO ensures that AI models are not just theoretically sound but practically viable and efficient in real-world scenarios.</p>
1517. <p>Some of the popular techniques and use cases include:</p>
1518. <h3><strong>Hyperparameter Tuning</strong></h3>
1519. <p>Hyperparameter tuning involves adjusting the parameters that govern the learning process of AI models to enhance their performance. A common use case is in deep learning, where tuning parameters like learning rate and batch size can significantly impact model accuracy and training speed.</p>
1520. <h3><strong>Feature Engineering</strong></h3>
1521. <p>Feature engineering is the process of selecting, modifying, or creating new features from raw data to improve model relevance. In financial fraud detection, for example, engineered features can help models better identify patterns that indicate fraudulent activity.</p>
1522. <h3><strong>Transfer Learning</strong></h3>
1523. <p>Transfer learning takes pre-trained models and uses them on new, related problems, which reduces the need for large datasets and extensive training. This technique is widely used in image recognition tasks, where models trained on vast image datasets are fine-tuned for specific recognition tasks with smaller datasets.</p>
1524. <h3><strong>Neural Architecture Search (NAS)</strong></h3>
1525. <p>NAS automates the design of neural network architectures, which improves their performance and makes them more efficient. In autonomous vehicle systems, NAS can be used to design lightweight but powerful neural networks capable of making decisions in real-time.</p>
1526. <p>The benefits of AIO extend across various domains, enhancing model accuracy, efficiency, and applicability. By optimizing AI models, organizations can achieve faster decision-making processes, reduce operational costs, and improve customer experiences.</p>
1527. <p>In healthcare, for example, AIO can help in the development of predictive models for patient outcomes, with the promise of earlier diagnoses, leading to better and personalized treatment plans, and improved patient care.</p>
1528. <p>Similarly, the cybersecurity domain benefits from AIO through more accurate advanced threat detection models, which help to bolster security measures and safeguard digital assets against evolving threats. Ultimately, the applications of AIO are diverse. But they do have one thing in common. Each application shows how impactful AIO is in harnessing the full capabilities of AI technologies for practical, impactful solutions.</p>
1529. <h2><strong>Importance of AI Model Optimization</strong></h2>
1530. <p>Although there are many reasons why AI model optimization is important, in essence it involves better performance, broader applicability, and maintained relevance, as follows:</p>
1531. <h3><strong>Enhancing Performance and Efficiency</strong></h3>
1532. <p>AI model optimization’s greatest importance is in boosting the performance and efficiency of AI systems. Through tuning and adjustments, AI models are refined to make use of computational resources more effectively for faster and more accurate outcomes. In environments where there’s a need to maintain a balance between speed and precision, this optimization is not negotiable as it will directly impact the utility and success of AI applications.</p>
1533. <h3><strong>Broadening Applicability Across Industries</strong></h3>
1534. <p>Optimization makes AI technologies more applicable across various sectors by adapting models to specific tasks and challenges. This bespoke approach allows AI systems to deliver targeted solutions, from improving patient diagnostics in healthcare to enhancing predictive models in finance, which showcases the versatility and potential for transformation powered by optimized AI models.</p>
1535. <h3><strong>Maintaining Relevance in Evolving Data Landscapes</strong></h3>
1536. <p>The dynamic nature of data necessitates regular optimization of AI models to maintain their accuracy and effectiveness. As data patterns and environments change, optimization ensures that AI systems adapt and evolve, providing consistent, valuable insights and solutions. This point shows us that AI model optimization is a continuous process to sustain the long-term relevance and impact of AI technologies.</p>
1537. <p><img decoding="async" class="aligncenter wp-image-224498" src="https://www.eweek.com/wp-content/uploads/2024/04/optimze-ai-model-2-300x250.jpg" alt="" width="554" height="462" srcset="https://www.eweek.com/wp-content/uploads/2024/04/optimze-ai-model-2-300x250.jpg 300w, https://www.eweek.com/wp-content/uploads/2024/04/optimze-ai-model-2-504x420.jpg 504w, https://www.eweek.com/wp-content/uploads/2024/04/optimze-ai-model-2.jpg 654w" sizes="(max-width: 554px) 100vw, 554px" /><em>In this example of model optimization, model development is placed in a larger context of business goals, data processing, deployment and other key factors. Source: AWS</em></p>
1538. <h2><strong>6 Common Challenges of AI Model Optimization</strong></h2>
1539. <p>As important as AI model optimization is, it presents an array of challenges that can impact the effectiveness and efficiency of models. Understanding these challenges is crucial for maintaining efficient AI systems.</p>
1540. <h3><strong>Balancing Complexity and Performance</strong></h3>
1541. <p>One of the primary challenges in AI model optimization is finding the right balance between model complexity and performance. Complex models may offer high accuracy but at the cost of increased computational resources and slower response times. Simplifying these models to improve efficiency often requires careful consideration to avoid significant losses in accuracy.</p>
1542. <h3><strong>Data Quality and Availability</strong></h3>
1543. <p>The quality and availability of data significantly impacts the optimization process. In many cases, the data needed to train and refine AI models may be scarce, imbalanced, or of poor quality. In such cases, you’re guaranteed suboptimal model performance. Having constant access to high-quality, relevant data is a persistent challenge in AI optimization.</p>
1544. <h3><strong>Overfitting and Generalization</strong></h3>
1545. <p>Overfitting remains a critical challenge, where models perform quite well on training data but fail to generalize to new, unseen data. Addressing overfitting requires techniques that enhance the model&#8217;s ability to generalize from the training data without compromising its ability to capture underlying patterns.</p>
1546. <h3><strong>Computational Resources</strong></h3>
1547. <p>The resources required for training and optimizing AI models, especially deep learning models, can be substantial, in some cases requiring a major enterprise infrastructure. Managing these resources effectively is a significant challenge, particularly in environments with limited computational capacity.</p>
1548. <h3><strong>Keeping Pace with Evolving Data</strong></h3>
1549. <p>Data powers AI models, but this data is constantly changing. Therefore, AI models need regular updates and optimizations to stay relevant as the data they are based on evolves. This continuous need for retraining and optimization can be resource-intensive and requires robust strategies to ensure models remain effective over time.</p>
1550. <h3><strong>Integration with Existing Systems</strong></h3>
1551. <p>Integrating optimized AI models into existing systems and workflows can be a challenge. Making sure they are compatible, as well as maintaining performance post-integration, needs careful planning and execution.</p>
1552. <h2><strong>Key Applications Showcasing AI&#8217;s Role in Process Streamlining</strong></h2>
1553. <p>AI model optimization has countless applications across various industries. Here are some of the top use cases of AI technologies in not only streamlining processes but also enhancing operational efficiencies.</p>
1554. <h3><strong>Personalization and Diagnostics in Healthcare</strong></h3>
1555. <p>In healthcare, optimized AI models are revolutionizing patient care by enabling the development of personalized treatment plans. By analyzing vast datasets, AI can predict patient outcomes with high accuracy, allowing healthcare providers to adapt treatments to individual needs, resulting in improved recovery rates and patient satisfaction.</p>
1556. <p>AI model optimization also enhances the accuracy of diagnostics. Through advanced algorithms that analyze medical imagery, AI can identify patterns indicative of diseases such as cancer at early stages, leading to timely and more effective treatments.</p>
1557. <h3><strong>Enhanced Fraud Detection in Finance</strong></h3>
1558. <p>The finance sector benefits from AI optimization through improved fraud detection systems. Optimized models can analyze transaction patterns in real-time and spot anomalies that may indicate fraudulent activity, thus safeguarding assets, consumers, and institutions alike.</p>
1559. <h3><strong>Process Optimization in Manufacturing</strong></h3>
1560. <p>Process optimization in manufacturing yields reduced waste and higher efficiency. AI models can predict machine failures, optimize resource allocation, and enhance quality control, leading to increased efficiency and reduced downtime. By predicting maintenance needs, optimizing supply chains, and streamlining production lines, AI drives significant cost savings and productivity gains.</p>
1561. <h3><strong>Inventory Management in Retail</strong></h3>
1562. <p>Retailers leverage optimized AI for advanced inventory management, which involves predicting stock levels with high precision. This ensures optimal stock levels, reduces overstock and stockouts, and improves customer satisfaction by ensuring that the correct products are available at the correct time.</p>
1563. <h3><strong>Improved Navigation in Autonomous Vehicles</strong></h3>
1564. <p>For autonomous vehicles, AI optimization enhances navigation systems, which in turn makes real-time decisions safer and more reliable. By processing vast amounts of sensor data, AI can navigate complex environments and reduce the likelihood of accidents. It also leads to improved efficiency in route planning and a reduction in energy consumption.</p>
1565. <h3><strong>Advanced Threat Detection</strong></h3>
1566. <p>Optimized AI models play a crucial role in cybersecurity as they enhance threat detection and response. By continuously learning and adapting to new threats, AI supports increasingly robust defense and more successful threat detection and response systems, which makes protecting data and infrastructure from evolving cyberthreats much faster and more effective.</p>
1567. <h2><strong>Frequently Asked Questions (FAQs): AI Model Optimization</strong></h2>
1568. <h3><strong>How Can AI Optimize Design?</strong></h3>
1569. <p>AI optimizes design by using algorithms that can generate numerous iterations based on set parameters to significantly enhance creativity and efficiency. This approach is instrumental in fields like architecture and product design, where AI-driven tools offer innovative solutions that balance aesthetics, functionality, and sustainability.</p>
1570. <h3><strong>How Is AI Used in Route Optimization?</strong></h3>
1571. <p>In route optimization, AI analyzes vast datasets, such as traffic patterns, weather conditions, and vehicle capacities, to provide users with the most efficient travel routes. This application is particularly useful in logistics and delivery services as it helps reduce travel time and fuel consumption and enhance operational efficiency and sustainability.</p>
1572. <h3><strong>How Do You Optimize an ML Model?</strong></h3>
1573. <p>Optimizing a <a href="https://www.eweek.com/big-data-and-analytics/machine-learning/">machine learning</a> (ML) model involves various techniques such as hyperparameter tuning for algorithm configuration, regularization to prevent overfitting, and feature selection to enhance model performance. These strategies ensure the model is as efficient and accurate as possible, which is crucial for its application in real-world scenarios.</p>
1574. <h3><strong>What Are the Three AI Models?</strong></h3>
1575. <p>The <a href="https://www.eweek.com/artificial-intelligence/generative-ai-landscape/">AI landscape</a> features three primary models, namely:</p>
1576. <ul>
1577. <li>Artificial Narrow Intelligence (ANI), which excels in specific tasks without broader cognition.</li>
1578. <li>Artificial General Intelligence (AGI), which uses theoretical systems with human-like learning and reasoning capabilities.</li>
1579. <li>Artificial Superintelligence (ASI), a future concept where AI surpasses human intelligence across all areas.</li>
1580. </ul>
1581. <h2><strong>Bottom Line: Maximizing Potential with AI Model Optimization</strong></h2>
1582. <p>Improving your AI models with optimization amplifies the efficiency of AI systems. It’s a continuous process that should be carried out from time to time to make sure your models remain relevant in their use cases. This not only helps you achieve peak performance but also broadens the horizon for AI&#8217;s applicability across diverse sectors.</p>
1583. <p>From improving healthcare&#8217;s personalized patient care to greater precision in manufacturing to better efficiency in <a href="https://www.eweek.com/artificial-intelligence/aiops-tools/" target="_blank" rel="noopener">AIOps tools</a>, AI model optimization ensures that AI’s potential is both realized and maximized.</p>
1584. <p><em><strong>To see a list of the leading generative AI apps, read our guide: <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">Top 20 Generative AI Tools and Apps 2024</a></strong></em></p>
1585. <p>The post <a href="https://www.eweek.com/artificial-intelligence/ai-model-optimization/">AI Model Optimization: 6 Key Techniques</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
1586. ]]></content:encoded>
1590. </item>
1591. <item>
1592. <title>Top 75 Generative AI Startups Innovating In 2024</title>
1593. <link>https://www.eweek.com/artificial-intelligence/generative-ai-startups/</link>
1595. <dc:creator><![CDATA[Shelby Hiter]]></dc:creator>
1596. <pubDate>Tue, 16 Apr 2024 20:45:29 +0000</pubDate>
1597. <category><![CDATA[Artificial Intelligence]]></category>
1598. <category><![CDATA[Latest News]]></category>
1599. <category><![CDATA[AI]]></category>
1600. <category><![CDATA[artificial intelligence]]></category>
1601. <category><![CDATA[Generative AI]]></category>
1602. <category><![CDATA[Generative AI Startups]]></category>
1603. <guid isPermaLink="false">https://www.eweek.com/?p=222091</guid>
1604.  
1605. <description><![CDATA[<p>Generative AI startups have emerged as the newest and most formidable players in the tech world, using natural language processing, machine learning, and other forms of artificial intelligence to generate new, original content for a variety of business use cases. Larger tech companies like Google, Microsoft, and AWS are working hard to build their generative [&#8230;]</p>
1606. <p>The post <a href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/">Top 75 Generative AI Startups Innovating In 2024</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
1607. ]]></description>
1608. <content:encoded><![CDATA[<p>Generative AI startups have emerged as the newest and most formidable players in the tech world, using natural language processing, machine learning, and other forms of artificial intelligence to generate new, original content for a variety of business use cases.</p>
1609. <p>Larger tech companies like Google, Microsoft, and AWS are working hard to build their generative AI technologies as well, but these tech giants don&#8217;t always keep up with the agile gen AI startups that are willing to take risks in order to establish their AI niches.</p>
1610. <p>We’ve created a list of the top 75 generative AI startups to watch today and over the next few years. Some of these companies, like OpenAI, have already proven themselves and turned into multi-billion dollar companies. Others have not yet emerged from early rounds of funding. Regardless of where they individually fall in their stages of development, each of these startups has generated enough buzz to earn a spot on our list of the top generative AI startups.</p>
1611. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
1612. <p class="ez-toc-title">TABLE OF CONTENTS</p>
1613. <label for="ez-toc-cssicon-toggle-item-662b2c09879da" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c09879da"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#featured-partners-ai-software" title="Featured Partners: AI Software">Featured Partners: AI Software</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-10-generative-ai-startups-best-of-the-best" title="Top 10 Generative AI Startups: Best of the Best">Top 10 Generative AI Startups: Best of the Best</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-5-generative-ai-startups-for-developers" title="Top 5 Generative AI Startups for Developers">Top 5 Generative AI Startups for Developers</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-7-generative-ai-startups-for-marketing-and-sales" title="Top 7 Generative AI Startups for Marketing and Sales">Top 7 Generative AI Startups for Marketing and Sales</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-13-generative-ai-startups-for-audio-video-and-creative-projects" title="Top 13 Generative AI Startups for Audio, Video, and Creative Projects">Top 13 Generative AI Startups for Audio, Video, and Creative Projects</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-10-generative-ai-startups-for-healthcare-pharmaceuticals-and-life-sciences" title="Top 10 Generative AI Startups for Healthcare, Pharmaceuticals, and Life Sciences">Top 10 Generative AI Startups for Healthcare, Pharmaceuticals, and Life Sciences</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-4-generative-ai-startups-for-synthetic-data-and-data-analytics" title="Top 4 Generative AI Startups for Synthetic Data and Data Analytics">Top 4 Generative AI Startups for Synthetic Data and Data Analytics</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-8" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-7-generative-ai-startups-for-customer-service-and-customer-experience" title="Top 7 Generative AI Startups for Customer Service and Customer Experience">Top 7 Generative AI Startups for Customer Service and Customer Experience</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-9" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-8-generative-ai-startups-for-gaming-and-entertainment" title="Top 8 Generative AI Startups for Gaming and Entertainment">Top 8 Generative AI Startups for Gaming and Entertainment</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-10" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-8-generative-ai-startups-for-project-management-legal-and-business-operations" title="Top 8 Generative AI Startups for Project Management, Legal, and Business Operations">Top 8 Generative AI Startups for Project Management, Legal, and Business Operations</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-11" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#top-3-generative-ai-startups-for-chatbots-search-and-personal-assistance" title="Top 3 Generative AI Startups for Chatbots, Search, and Personal Assistance">Top 3 Generative AI Startups for Chatbots, Search, and Personal Assistance</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-12" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#why-is-generative-ai-important" title="Why Is Generative AI Important?">Why Is Generative AI Important?</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-13" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#how-does-generative-ai-work" title="How Does Generative AI Work?">How Does Generative AI Work?</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-14" href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/#bottom-line-the-generative-ai-startups-to-watch" title="Bottom Line: The Generative AI Startups to Watch">Bottom Line: The Generative AI Startups to Watch</a></li></ul></nav></div>
1614.  
1615. <!-- ICP Plugin: Start --><div class="icp-list icp-list-main icp-list-body-top3 row">
1616.    
1617.        <style>
1618.  
1619. :root {
1620. --icp-body-top-three-button-background: #478ac6;
1621.  
1622. }
1623.  
1624. </style>
1625.                    <h2 class="icp-list-headline">Featured Partners: AI Software</h2>
1626.        
1627.        <div class="row">
1628.                                            <div class="icp-list-item item">
1629.                                            <p class="icp-list-item-logo">
1630.                            <a href="https://link.technologyadvice.com/313a70b4-3d09-47cf-9ab0-52d421c0d843?country=US&targeting_set_uuid=66713f25-e6f2-4937-9652-63206fb4eb89&position=1&placement=body&layout=top3&source=https%3A%2F%2Fwww.eweek.com%2Ffeed&auid=e710cdc7-d085-4f17-8dab-367c15d297b1&" rel="nofollow sponsored" target="_blank" class="icp-list-link"><img decoding="async" class="icp-list-image" src="https://ta-relay-public-files-prod.s3.us-east-2.amazonaws.com/icp/product_images/ba309a2df42fd96a78458efa04565b6b.png" alt="Wrike" border="0"></a>                        </p>
1631.                                                                                        <p class="icp-list-item-cta">
1632.                            <a href="https://link.technologyadvice.com/313a70b4-3d09-47cf-9ab0-52d421c0d843?country=US&targeting_set_uuid=66713f25-e6f2-4937-9652-63206fb4eb89&position=1&placement=body&layout=top3&source=https%3A%2F%2Fwww.eweek.com%2Ffeed&auid=e710cdc7-d085-4f17-8dab-367c15d297b1&" rel="nofollow sponsored" target="_blank" class="icp-list-link">Learn More</a>                        </p>
1633.                                    </div>
1634.                    </div>
1635.  
1636.  
1637.    </div>
1638. <!-- ICP Plugin: End -->
1639. <h2><strong>Top 10 Generative AI Startups: Best of the Best</strong></h2>
1640. <p><img decoding="async" class="alignright wp-image-222127" src="https://www.eweek.com/wp-content/uploads/2023/04/openai-icon.png" alt="OpenAI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/openai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/openai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1641. <h3><strong>1. OpenAI</strong></h3>
1642. <p>OpenAI is one of the biggest AI names in the world and is certainly the largest in the <a href="https://www.eweek.com/artificial-intelligence/what-is-generative-ai/" target="_blank" rel="noopener">generative AI</a> space. Along with its prebuilt AI solutions, OpenAI also offers API and application development support for developers who want to use its models as baselines. Its close partnership with Microsoft and growing commitment to ethical AI continue to boost its reputation and reach. Most recently, the company has introduced Sora — a text-to-video tool — to its portfolio.</p>
1643. <ul>
1644. <li><strong>Founded:</strong> 2015.</li>
1645. <li><strong>Founded by:</strong> Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trever Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, Jessica Livingston, John Schulman, Pamela Vagata, Wojciech Zaremba</li>
1646. <li><strong>Category and use cases:</strong> Language modeling, content generation, image generation and editing, audio transcription and translation, custom and embedded model development.</li>
1647. <li><strong>Core products and solutions:</strong> GPT-4, ChatGPT Free, ChatGPT Plus, ChatGPT Team, ChatGPT Enterprise, DALL-E 3, Whisper, and various fine-tuning and embedding models. API is also a key part of OpenAI’s solution stack.</li>
1648. </ul>
1649. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1650. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/openai-main" target="_blank" rel="noopener nofollow">Visit OpenAI</a></div>
1651. </div>
1652. <div><em><strong>To see a list of the leading generative AI apps, read our guide: <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">Top 20 Generative AI Tools and Apps 2024</a></strong></em></div>
1653. <p><img decoding="async" class="alignright wp-image-222433" src="https://www.eweek.com/wp-content/uploads/2023/05/anthropic-icon.png" alt="Anthropic icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/anthropic-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/anthropic-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1654. <h3><strong>2. Anthropic</strong></h3>
1655. <p>Anthropic’s <a href="https://www.eweek.com/artificial-intelligence/gpt4-vs-claude/">Claude platform</a> is similar to OpenAI’s ChatGPT, with its <a href="https://www.eweek.com/artificial-intelligence/large-language-model/">large language model</a> and content generation focus. First released widely in March 2023, Claude is viewed as a more customizable platform with less propensity for rude or inappropriate responses. Since its initial start, Claude has evolved into an enterprise-level AI assistant with high-level conversational AI capabilities, a large context window, and an API that allows users to build custom instances of Claude into their products.</p>
1656. <ul>
1657. <li><strong>Founded:</strong> 2021.</li>
1658. <li><strong>Founded by:</strong> Daniela Amodei, Dario Amodei, Jack Clark, Jared Kaplan, Sam McCandlish, Tom Brown</li>
1659. <li><strong>Category and use cases:</strong> Content generation, coding, customer support, text translation, text classification, text summarization, search, legal document summarization, career coaching, workflow automation, text editing, API, conversational AI.</li>
1660. <li><strong>Core products and solutions:</strong> Claude 3 and Claude API.</li>
1661. </ul>
1662. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1663. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/anthropic-main" target="_blank" rel="noopener nofollow">Visit Anthropic</a></div>
1664. </div>
1665. <div><em><b style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">For more information about generative AI providers, read our in-depth guide: </b><a style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=generative-ai-companies-top-12-leaders"><b>Generative AI Companies: Top 20 Leaders</b></a></em></div>
1666. <p><img decoding="async" class="alignright wp-image-222120" src="https://www.eweek.com/wp-content/uploads/2023/04/cohere-icon.png" alt="Cohere icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/cohere-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/cohere-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1667. <h3><strong>3. Cohere</strong></h3>
1668. <p>Cohere offers NLP solutions that are specifically designed to support business operations. With Cohere’s conversational AI agent, enterprise users can quickly search for and retrieve all kinds of company information without searching through massive applications and databases. The organization’s different families of language models can be used for business tasks like document analysis, content writing (including for product descriptions), semantic search, and improved internal and external e-commerce experiences.</p>
1669. <ul>
1670. <li><strong>Founded:</strong> 2019.</li>
1671. <li><strong>Founded by:</strong> Aidan Gomez, Ivan Zhang, Nick Frosst</li>
1672. <li><strong>Category and use cases:</strong> Retrieval-augmented generation, text generation, text classification, semantic search, enterprise conversational AI agent, multilingual embedding, access to language models.</li>
1673. <li><strong>Core products and solutions:</strong> Command (including Command R and Command R+), Rerank, and Embed (including Classify).</li>
1674. </ul>
1675. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1676. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/cohere-main" target="_blank" rel="noopener nofollow">Visit Cohere</a></div>
1677. </div>
1678. <p><img decoding="async" class="wp-image-222121 alignright" src="https://www.eweek.com/wp-content/uploads/2023/04/glean-icon.png" alt="Glean icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/glean-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/glean-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1679. <h3><strong>4. Glean</strong></h3>
1680. <p>Glean is a <a href="https://www.eweek.com/artificial-intelligence/what-is-generative-ai/">generative AI</a> enterprise search company that relies on deep-learning models to understand natural language queries in the context of organizational, departmental, and individual user characteristics. Glean connects to a variety of enterprise apps and platforms, making it easier to set up and maintain access to various business information sources. With its focus on <a href="https://www.eweek.com/artificial-intelligence/ai-policy-and-governance/" target="_blank" rel="noopener">AI privacy and governance</a>, small businesses and enterprises alike are investing in this solution for enterprise knowledge management.</p>
1681. <ul>
1682. <li><strong>Founded:</strong> 2019.</li>
1683. <li><strong>Founded by:</strong> Arvind Jain, Piyush Prahladka, Tony Gentilcore, TR Vishwanath</li>
1684. <li><strong>Categories and use cases:</strong> Cognitive enterprise search, data ingestion and management, knowledge management, enterprise environment app, AI assistance, enterprise security and privacy management, data unification.</li>
1685. <li><strong>Core products and solutions:</strong> Glean Workplace Search, Glean Assistant, Glean Knowledge Management, Glean Work Hub, Glean Connectors, and Glean Security.</li>
1686. </ul>
1687. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1688. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/glean-main" target="_blank" rel="noopener nofollow">Visit Glean</a></div>
1689. </div>
1690. <div><em><strong>For a deeper understanding of the AI landscape, read our guide: <a href="https://www.eweek.com/big-data-and-analytics/ai-market/" target="_blank" rel="noopener">The AI Market: An Overview</a></strong></em></div>
1691. <p><img decoding="async" class="wp-image-222124 alignright" src="https://www.eweek.com/wp-content/uploads/2023/04/jasper-icon.png" alt="Jasper icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/jasper-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/jasper-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1692. <h3><strong>5. Jasper</strong></h3>
1693. <p>Jasper’s core product is designed specifically for business and marketing content generation. Some core areas where Jasper works well include social media, advertising, blog, email, and website content creation. It is a particularly effective tool for establishing a consistent brand voice and managing digital marketing campaigns. In early 2024, Jasper acquired the AI image platform, Clickdrop, and expects to increase its multimodal capabilities as a result of this acquisition.</p>
1694. <ul>
1695. <li><strong>Founded:</strong> 2021.</li>
1696. <li><strong>Founded by:</strong> Chris Hull, Dave Rogenmoser, John Philip Morgan.</li>
1697. <li><strong>Category and use cases:</strong> Long-form and short-form content creation, dialog-driven content creation and language modeling, AI copilot, AI assistant browser extension, art creation, multi-language reading and writing.</li>
1698. <li><strong>Core products and solutions:</strong> Jasper.</li>
1699. </ul>
1700. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1701. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/jasper-ew-generative-ai-startups" target="_blank" rel="noopener nofollow sponsored">Visit Jasper</a></div>
1702. </div>
1703. <p><img decoding="async" class="alignright wp-image-222123" src="https://www.eweek.com/wp-content/uploads/2023/04/hugging_face-icon.png" alt="Hugging Face icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/hugging_face-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/hugging_face-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1704. <h3><strong>6. Hugging Face</strong></h3>
1705. <p>Hugging Face is a community forum, similar to GitHub, that focuses on <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/" target="_blank" rel="noopener">AI</a> and <a href="https://www.eweek.com/big-data-and-analytics/machine-learning/" target="_blank" rel="noopener">ML model</a> development and deployment. Some of the community’s main specialties include text classification, question answering, image classification, translation, summarization, audio classification, and object detection. Most notably, Hugging Face offers users access to BLOOM, an open-source LLM that can generate content in 46 languages and 13 programming languages.</p>
1706. <ul>
1707. <li><strong>Founded:</strong> 2016.</li>
1708. <li><strong>Founded by:</strong> Clement Delangue, Julien Chaumond, Thomas Wolf</li>
1709. <li><strong>Category and use cases:</strong> Open-source development community, multilingual content generation, public submissions and deployments of NLP, computer vision, access to third-party AI models.</li>
1710. <li><strong>Core products and solutions:</strong> BLOOM, Enterprise Hub, Inference Endpoints, and AutoTrain.</li>
1711. </ul>
1712. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1713. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/hugging-face-main" target="_blank" rel="noopener nofollow">Visit Hugging Face</a></div>
1714. </div>
1715. <p><img decoding="async" class="alignright wp-image-223091" src="https://www.eweek.com/wp-content/uploads/2023/09/inflection_ai-icon.png" alt="Inflection AI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/09/inflection_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/09/inflection_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1716. <h3><strong>7. Inflection AI</strong></h3>
1717. <p>Founded by former leaders from LinkedIn and DeepMind in 2022, Inflection AI’s mission and goals were mostly kept under wraps until Pi, a personal AI that focuses on colloquial conversation and advice, was released in May 2023. Even before its initial release, the company had already received major funding rounds and indicated its plans to completely transform how humans can speak to and communicate with computers.</p>
1718. <p>Most recently, two of Inflection’s co-founders — Mustafa Suleyman and Karén Simonyan — have left the company to work in a new AI division at Microsoft. In light of this change, the company announced a new CEO and plans to focus more heavily on offering an AI studio business so more users can access and customize their models.</p>
1719. <ul>
1720. <li><strong>Founded:</strong> 2022.</li>
1721. <li><strong>Founded by:</strong> Karén Simonyan, Reid Hoffman, Mustafa Suleyman</li>
1722. <li><strong>Category and use cases:</strong> AI model studio, AI chatbot and LLM, human-to-computer communication in plain language, voice search, brain-computer interface (BCI), conversational AI, AI assistance.</li>
1723. <li><strong>Core products and solutions:</strong> Pi.</li>
1724. </ul>
1725. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1726. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/inflection-ai-main" target="_blank" rel="noopener nofollow">Visit Inflection</a></div>
1727. </div>
1728. <p><img decoding="async" class="alignright wp-image-222275" src="https://www.eweek.com/wp-content/uploads/2023/05/stability_ai-icon.png" alt="Stability.ai icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/stability_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/stability_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1729. <h3><strong>8. Stability AI</strong></h3>
1730. <p>Stability AI is a leading startup in the generative AI space for image and video content generation. Though the company has come under controversy for alleged copyright infringement of artists’ work as well as for some possible financial instability, Stable Diffusion in particular continues to be a popular solution, operating in the background of many other generative AI startups’ platforms.</p>
1731. <ul>
1732. <li><strong>Founded:</strong> 2019.</li>
1733. <li><strong>Founded by:</strong> Emad Mostaque</li>
1734. <li><strong>Category and use cases:</strong> Text-to-image generation, image editing, audio and video generation, language modeling, open-source AI, 3D object generation and modeling, application development models, API and embed capabilities.</li>
1735. <li><strong>Core products and solutions:</strong> Stable Diffusion 3, Stable Diffusion XL and Turbo, Japanese Stable Diffusion XL, Stable Video Diffusion, Stable Audio 2.0, Stable Video 3D, Stable Zero123, Stable TripoSR, various language models.</li>
1736. </ul>
1737. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1738. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/stability-ai-main" target="_blank" rel="noopener nofollow">Visit Stability AI</a></div>
1739. </div>
1740. <p><img decoding="async" class="alignright wp-image-222255" src="https://www.eweek.com/wp-content/uploads/2023/05/mostly_ai-icon.png" alt="Mostly.ai icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/mostly_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/mostly_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1741. <h3><strong>9. MOSTLY AI</strong></h3>
1742. <p>MOSTLY AI’s <a href="https://www.eweek.com/artificial-intelligence/synthetic-data/">synthetic data</a> generation platform balances data democratization and app development efficiencies with data anonymity and security requirements. The platform has proven especially useful in the banking, insurance, and telecommunications industries. It is also compatible with many different operational environments, including for Kubernetes deployment, OpenShift deployment, and API and Python Client connectivity.</p>
1743. <ul>
1744. <li><strong>Founded:</strong> 2017.</li>
1745. <li><strong>Founded by:</strong> Klaudius Kalcher, Michael Platzer, Roland Boubela</li>
1746. <li><strong>Category and use cases:</strong> Synthetic data generation for AI and software app development, test data generation, data anonymization, Python client synthetic data generation, AI and ML development, data analytics, testing and product development.</li>
1747. <li><strong>Core products and solutions:</strong> MOSTLY AI.</li>
1748. </ul>
1749. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1750. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/mostly-ai-main" target="_blank" rel="noopener nofollow">Visit MOSTLY AI</a></div>
1751. </div>
1752. <p><img decoding="async" class="alignright wp-image-222125" src="https://www.eweek.com/wp-content/uploads/2023/04/lightricks-icon.png" alt="Lightricks icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/lightricks-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/lightricks-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1753. <h3><strong>10. Lightricks</strong></h3>
1754. <p>Lightricks first gained notoriety with its social-media-friendly image editing app, Facetune. It has since expanded Facetune and its other apps with cutting-edge AI, making it possible to edit and generate new content and avatars for videos, photos, and art projects.</p>
1755. <ul>
1756. <li><strong>Founded:</strong> 2013.</li>
1757. <li><strong>Founded by:</strong> Amit Goldstein, Itai Tsiddon, Nir Pochter, Yaron Inger, Zeev Farbman</li>
1758. <li><strong>Category and use cases:</strong> Text-to-image generation, image editing, video editing, art generation, avatar generation.</li>
1759. <li><strong>Core products and solutions:</strong> Facetune, Photoleap, Videoleap, Popular Pays, Filtertune, Beatleap, Motionleap, Artleap, Lightleap, and Boosted.</li>
1760. </ul>
1761. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1762. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/lightricks-main" target="_blank" rel="noopener nofollow">Visit Lightricks</a></div>
1763. </div>
1764. <h2><strong>Top 5 Generative AI Startups for Developers</strong></h2>
1765. <p><img decoding="async" class="alignright wp-image-222271" src="https://www.eweek.com/wp-content/uploads/2023/05/ai21_labs-icon.png" alt="AI21 Labs icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/ai21_labs-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/ai21_labs-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1766. <h3><strong>1. AI21 Labs</strong></h3>
1767. <p>AI21 Labs creates tools that focus heavily on contextual <a href="https://www.eweek.com/big-data-and-analytics/natural-language-processing/" target="_blank" rel="noopener">natural language processing</a> for reading and writing. Third-party developers can build on AI21 Labs’ language models for their own text-based apps and services with AI21 Studio. Its recent emphasis on task-specific APIs makes it easier for businesses to ideate and scale industry-specific and business-specific models with little to no prompt engineering or fine-tuning necessary.</p>
1768. <ul>
1769. <li><strong>Founded:</strong> 2017.</li>
1770. <li><strong>Founded by:</strong> Ori Goshen, Yoav Shoham.</li>
1771. <li><strong>Category and use cases:</strong> Language modeling, application development, content generation and editing, content summarization.</li>
1772. <li><strong>Core products and solutions:</strong> Wordtune, Jamba, Jurassic-2, task-specific APIs, and AI21 Studio.</li>
1773. </ul>
1774. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1775. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/ai21-main" target="_blank" rel="noopener nofollow">Visit AI21 Labs</a></div>
1776. </div>
1777. <p><img decoding="async" class="alignright wp-image-223007" src="https://www.eweek.com/wp-content/uploads/2023/04/tabnine-icon.png" alt="Tabnine icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/tabnine-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/tabnine-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1778. <h3><strong>2. Tabnine</strong></h3>
1779. <p>Tabnine offers generative AI code assistance for software development. It can be useful for both experienced and novice coders due to its focus on code completion and natural language prompting. Many users select this tool for both its robust coding features and its built-in security and governance features.</p>
1780. <ul>
1781. <li><strong>Founded:</strong> 2017.</li>
1782. <li><strong>Founded by:</strong> Dror Weiss, Eran Yahav.</li>
1783. <li><strong>Category and use cases:</strong> AI-assisted development, code completion, code automation, natural language coding and prompting, coding recommendations.</li>
1784. <li><strong>Core products and solutions:</strong> Tabnine and Tabnine Chat.</li>
1785. </ul>
1786. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1787. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/tabnine-main" target="_blank" rel="noopener nofollow">Visit Tabnine</a></div>
1788. </div>
1789. <p><img decoding="async" class="alignright wp-image-224444" src="https://www.eweek.com/wp-content/uploads/2024/04/mistral_ai-icon.png" alt="Mistral AI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/mistral_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/mistral_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1790. <h3><strong>3. Mistral AI</strong></h3>
1791. <p>Mistral AI is an AI company that offers deployment-ready solutions like le Chat but is more focused on providing its customers with open <a href="https://www.eweek.com/artificial-intelligence/generative-ai-model/">generative AI models</a> and other developer-friendly resources for scalable AI. Mistral model access comes in various sizes, meaning users can prioritize affordable and lightweight agility or scalable and high-powered performance.</p>
1792. <ul>
1793. <li><strong>Founded:</strong> 2023</li>
1794. <li><strong>Founded by:</strong> Arthur Mensch, Guillaume Lample, Timothée Lacroix</li>
1795. <li><strong>Category and use cases:</strong> Developer-facing open AI models, deployment resources, AI chat, AI platform.</li>
1796. <li><strong>Core products and solutions:</strong> Mistral Large, Mistral Small, Mistral Embed, Mistral 7B, Mixtral 8x7B, le Chat, and la Plateforme.</li>
1797. </ul>
1798. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1799. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/mistral-ai-main" target="_blank" rel="noopener nofollow">Visit Mistral AI</a></div>
1800. </div>
1801. <p><img decoding="async" class="alignright wp-image-224445" src="https://www.eweek.com/wp-content/uploads/2024/04/codeium-icon.png" alt="Codeium icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/codeium-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/codeium-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1802. <h3><strong>4. Codeium</strong></h3>
1803. <p>Codeium provides coders, programmers, and even less-technical users with resources to generate logical code for their projects. Autocompletion is an option, but users can also engage with Codeium through chat and gain more contextual knowledge for why code looks a certain way or how it could be optimized. Codeium can be experimented with in the playground environment, and it can also be used on a wide range of IDEs.</p>
1804. <ul>
1805. <li><strong>Founded:</strong> 2021.</li>
1806. <li><strong>Founded by:</strong> Varun Mohan, Douglas Chen.</li>
1807. <li><strong>Category and use cases:</strong> AI code completion, AI chat, contextualization, AI playground, developer resources and toolkit.</li>
1808. <li><strong>Core products and solutions:</strong> Codeium Chat, Codeium Autocomplete, Codeium Search.</li>
1809. </ul>
1810. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1811. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/codeium-main" target="_blank" rel="noopener nofollow">Visit Codeium</a></div>
1812. </div>
1813. <p><img decoding="async" class="alignright wp-image-224441" src="https://www.eweek.com/wp-content/uploads/2024/04/clarifai-icon.png" alt="Clarifai icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/clarifai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/clarifai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1814. <h3><strong>5. Clarifai</strong></h3>
1815. <p>Clarifai’s multipurpose platform offers resources to build, deploy, and manage AI and the data that goes into it throughout the full lifecycle. The solution can be used to label and otherwise prepare data for projects, and from there, users can build and operationalize models in various formats and environments, including in serverless and edge versions. Clarifai is best known for its computer vision, generative AI foundation model, and NLP solutions; however, it also offers a range of professional services to customers.</p>
1816. <ul>
1817. <li><strong>Founded:</strong> 2013.</li>
1818. <li><strong>Founded by:</strong> Matt Zeiler.</li>
1819. <li><strong>Category and use cases:</strong> LLM production, computer vision platform, unstructured data and content modeling, AI lake, data preparation, model building, model operationalization, foundation models.</li>
1820. <li><strong>Core products and solutions:</strong> Production AI Platform, AI Lake, Scribe, Spacetime, Enlight, Armada, Mesh, Flare, UI MOdules, AI Lab, LabelForce, ModelForce.</li>
1821. </ul>
1822. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1823. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/clarifai-main" target="_blank" rel="noopener nofollow">Visit Clarifai</a></div>
1824. </div>
1825. <h2><strong>Top 7 Generative AI Startups for Marketing and Sales</strong></h2>
1826. <p><img decoding="async" class="alignright wp-image-223594" src="https://www.eweek.com/wp-content/uploads/2023/10/gong-icon.png" alt="Gong icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/10/gong-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/10/gong-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1827. <h3><strong>1. Gong</strong></h3>
1828. <p>Gong extends to customers a full-service revenue intelligence solution that uses generative AI and other advanced features to support revenue forecasting, customer service engagement, analytics, team productivity management, and more. The company offers a wide range of enterprise-level features, including the Gong partner network and a high-powered Trust Center for security and compliance management. Among its customers are ADP, NASDAQ, LinkedIn, Dropbox, and Snowflake.</p>
1829. <ul>
1830. <li><strong>Founded:</strong> 2015.</li>
1831. <li><strong>Founded by:</strong> Amit Bendov, Eilon Reshef.</li>
1832. <li><strong>Category and use cases:</strong> Customer and conversation analytics, contextualized customer analysis, AI recommendations, revenue intelligence, forecasting, team productivity management.</li>
1833. <li><strong>Core products and solutions:</strong> Gong Reality Platform and Gong AI.</li>
1834. </ul>
1835. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1836. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/gong-main" target="_blank" rel="noopener nofollow">Visit Gong</a></div>
1837. </div>
1838. <p><img decoding="async" class="alignright wp-image-223010" src="https://www.eweek.com/wp-content/uploads/2023/04/twain-icon.png" alt="Twain icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/twain-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/twain-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1839. <h3><strong>2. Twain</strong></h3>
1840. <p>Twain is designed to help sales professionals write content — particularly outreach emails — that works better for sales outreach. It not only can generate its own content but can also make detailed recommendations for edits to content that a user submits. While it is primarily used for sales content generation, it also works well for recruiting and personal use cases.</p>
1841. <ul>
1842. <li><strong>Founded:</strong> 2021.</li>
1843. <li><strong>Founded by:</strong> Mohamed Chahin.</li>
1844. <li><strong>Category and use cases:</strong> Content generation, sales outreach, recruitment messaging, content recommendations.</li>
1845. <li><strong>Core products and solutions:</strong> Twain, Chrome extension.</li>
1846. </ul>
1847. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1848. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/twain-main" target="_blank" rel="noopener nofollow">Visit Twain</a></div>
1849. </div>
1850. <p><img decoding="async" class="alignright wp-image-223008" src="https://www.eweek.com/wp-content/uploads/2023/04/bertha_ai-icon.png" alt="Bertha AI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/bertha_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/bertha_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1851. <h3><strong>3. Bertha.ai</strong></h3>
1852. <p>Bertha.ai is a content generation solution for WordPress users in particular, though it also works with sites like Shopify, WooCommerce, Wix, and Squarespace. It can help with creating written content and imagery for blog posts and other webpages as well as other forms of digital marketing copy.</p>
1853. <ul>
1854. <li><strong>Founded:</strong> 2021.</li>
1855. <li><strong>Founded by:</strong> Andrew Palmer, Vito Peleg.</li>
1856. <li><strong>Category and use cases:</strong> Content generation, image and illustration creation, blog writing, product description writing.</li>
1857. <li><strong>Core products and solutions:</strong> Bertha AI, Chat, Write Anything, Long Form Content, and Bertha Chrome Extension.</li>
1858. </ul>
1859. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1860. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/bertha-ai-main" target="_blank" rel="noopener nofollow">Visit Bertha.ai</a></div>
1861. </div>
1862. <p><img decoding="async" class="alignright wp-image-224447" src="https://www.eweek.com/wp-content/uploads/2024/04/tome-icon.png" alt="Tome icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/tome-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/tome-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1863. <h3><strong>4. Tome</strong></h3>
1864. <p>Tome is a creative <a href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/">generative AI company</a> and platform that was established by two former Meta managers and has quickly gained recognition for its creative and usable interface. The founders’ goal was to create a fun tool that fills in some of the gaps left by tools like PowerPoint, especially when it comes to mobile usability. Tome generates both relevant and somewhat randomized content for users’ presentations, acting as a business partner, assistant, or trusted friend who helps to brainstorm the best possible content for the project.</p>
1865. <ul>
1866. <li><strong>Founded:</strong> 2022.</li>
1867. <li><strong>Founded by:</strong> Keith Peiris, Henri Liriani.</li>
1868. <li><strong>Category and use cases:</strong> AI presentation generation, AI storytelling, marketing and sales, product pitching, creative projects.</li>
1869. <li><strong>Core products and solutions:</strong> Tome.</li>
1870. </ul>
1871. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1872. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/tome-main" target="_blank" rel="noopener nofollow">Visit Tome</a></div>
1873. </div>
1874. <p>&nbsp;</p>
1875. <p><img decoding="async" class="alignright wp-image-224446" src="https://www.eweek.com/wp-content/uploads/2024/04/copyai-icon.png" alt="CopyAI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/copyai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/copyai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1876. <h3><strong>5. CopyAI</strong></h3>
1877. <p>CopyAI takes on the unique role of creating generative AI for go-to-market workflows and strategizing, giving users the technology necessary to more intelligently attract, land, adopt, retain, and expand their reach. The platform is most often used by marketing and sales professionals to help them work through their GTM processes more quickly and smoothly. CopyAI can be used to translate content for a multilingual or global audience, generate blog and social media content, and create the content and structure necessary for a successful email marketing campaign.</p>
1878. <ul>
1879. <li><strong>Founded:</strong> 2020.</li>
1880. <li><strong>Founded by:</strong> Paul Yacoubian, Chris Lu.</li>
1881. <li><strong>Category and use cases:</strong> GTM AI, task automation, content generation, CRM content enrichment, marketing, sales, brand voice management, email marketing, translation.</li>
1882. <li><strong>Core products and solutions:</strong> CopyAI platform, AI Marketing OS, AI Sales OS.</li>
1883. </ul>
1884. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1885. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/copy-ai-main" target="_blank" rel="noopener nofollow">Visit CopyAI</a></div>
1886. </div>
1887. <p><img decoding="async" class="alignright wp-image-224458" src="https://www.eweek.com/wp-content/uploads/2024/04/narrative_bi-icon.png" alt="Narrative BI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/narrative_bi-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/narrative_bi-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1888. <h3><strong>6. Narrative BI</strong></h3>
1889. <p>Narrative BI uses generative AI to build out a new chapter in data democratization. The goal of this platform is to turn data, business intelligence, and analytics into narratives that are easier for all users to understand and contextualize within their roles and the greater frame of the business. With this approach, all employees can more effectively contribute to decision-making wherever important business data lives, including in and through Google Analytics 4, Google Ads, Google Search Console, Facebook Ads, Instagram Ads, LinkedIn Ads, HubSpot, CSV, Salesforce, Slack, Snowflake, Amazon Redshift, PostgreSQL, and MySQL. An API and custom integrations are also available.</p>
1890. <ul>
1891. <li><strong>Founded:</strong> 2020.</li>
1892. <li><strong>Founded by:</strong> Michael Rumiantsau, Yury Koleda.</li>
1893. <li><strong>Category and use cases:</strong> AI insights for marketing and sales, social media and analytics integrations, automated generative BI, narrativized analytics.</li>
1894. <li><strong>Core products and solutions:</strong> Narrative BI platform and Generative BI.</li>
1895. </ul>
1896. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1897. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/narrative-bi-main" target="_blank" rel="noopener nofollow">Visit Narrative BI</a></div>
1898. </div>
1899. <p><img decoding="async" class="alignright wp-image-223144" src="https://www.eweek.com/wp-content/uploads/2023/10/anyword-icon.png" alt="Anyword icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/10/anyword-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/10/anyword-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1900. <h3><strong>7. Anyword</strong></h3>
1901. <p>Anyword is a <a href="https://www.eweek.com/artificial-intelligence/ai-writing-tools/">generative AI writing solution</a> that focuses specifically on marketing and other business outcomes. Users can optimize existing content for better performance, personalize messaging on their websites at scale, and train AI to understand their brand’s voice and target audience. With features like a predicted performance score and the ability to use Anyword within other tools — including ChatGPT, Notion, and HubSpot — users can improve their content with minimal hassle.</p>
1902. <ul>
1903. <li><strong>Founded:</strong> 2013.</li>
1904. <li><strong>Founded by:</strong> Yaniv Makover, Adam Habari.</li>
1905. <li><strong>Category and use cases:</strong> Marketing content generation, demand generation, SEO support, API, website automation, LLMs, copy intelligence.</li>
1906. <li><strong>Core products and solutions:</strong> Data-Driven Editor, Blog Wizard, Copy Intelligence Platform, private LLMs, Performance Boost AI Chrome Extension.</li>
1907. </ul>
1908. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1909. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/anyword-main" target="_blank" rel="noopener nofollow">Visit Anyword</a></div>
1910. </div>
1911. <h2><strong>Top 13 Generative AI Startups for Audio, Video, and Creative Projects</strong></h2>
1912. <p><img decoding="async" class="wp-image-222188 alignright" src="https://www.eweek.com/wp-content/uploads/2023/05/synthesia-icon.png" alt="Synthesia icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/synthesia-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/synthesia-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1913. <h3><strong>1. Synthesia</strong></h3>
1914. <p>Synthesia is a generative AI company that focuses on <a href="https://www.eweek.com/artificial-intelligence/best-ai-video-generators/">AI video creation</a> for personal and enterprise use. Users can rely on AI avatars and voices to communicate in training, marketing, and how-to videos in 120 different languages. Most significantly, professional-looking videos can be generated from users’ text inputs.</p>
1915. <ul>
1916. <li><strong>Founded:</strong> 2017.</li>
1917. <li><strong>Founded by:</strong> Lourdes Agapito, Matthias Niessner, Steffen Tjerrild, Victor Riparbelli</li>
1918. <li><strong>Category and use cases:</strong> Video generation, AI voice and avatar generation, video templates.</li>
1919. <li><strong>Core products and solutions:</strong> Synthesia.</li>
1920. </ul>
1921. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1922. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/synthesia-ew-generative-ai-startups" target="_blank" rel="noopener nofollow sponsored">Visit Synthesia</a></div>
1923. </div>
1924. <p><em><strong>For a detailed list of the leading AI video providers, see our guide: <a href="https://www.eweek.com/artificial-intelligence/best-ai-video-generators/" target="_blank" rel="noopener">10 Best AI Video Generators</a></strong></em></p>
1925. <p><img decoding="async" class="alignright wp-image-222425" src="https://www.eweek.com/wp-content/uploads/2023/05/midjourney-icon.png" alt="Midjourney icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/midjourney-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/midjourney-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1926. <h3><strong>2. Midjourney</strong></h3>
1927. <p>Midjourney is a generative AI solution for image and artwork creation that primarily gives users access to its features and community support through Discord. Though Midjourney has faced some of the same controversies as Stability AI, the company continues to grow its capabilities and user base. It is particularly well known for its advanced and granular image editing features.</p>
1928. <ul>
1929. <li><strong>Founded:</strong> 2022.</li>
1930. <li><strong>Founded by:</strong> David Holz.</li>
1931. <li><strong>Category and use cases:</strong> Natural-language-driven image generation, image enhancements and modifications, image editing.</li>
1932. <li><strong>Core products and solutions:</strong> Midjourney.</li>
1933. </ul>
1934. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1935. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/midjourney-main" target="_blank" rel="noopener nofollow">Visit Midjourney</a></div>
1936. </div>
1937. <p><img decoding="async" class="alignright wp-image-222495" src="https://www.eweek.com/wp-content/uploads/2023/06/murf_ai-icon.png" alt="Murf AI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/06/murf_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/06/murf_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1938. <h3><strong>3. MURF.AI</strong></h3>
1939. <p>MURF.AI is a leading voice AI generation company that is frequently praised for the quality of its multilingual voices as well as for its solutions’ ease of use. Murf comes with various third-party integrations that are relevant for creative content production. It also provides users with supportive resources and how-to guides for a diverse range of content types, including Spotify ads, L&amp;D training, animation, video games, podcasts, and marketing and sales videos.</p>
1940. <ul>
1941. <li><strong>Founded:</strong> 2020.</li>
1942. <li><strong>Founded by:</strong> Divyanshu Pandey, Ankur Edkie, Sneha Roy.</li>
1943. <li><strong>Category and use cases:</strong> Text to speech, voice cloning, AI dubbing, AI translation, API, voices for Windows, voice content generation.</li>
1944. <li><strong>Core products and solutions:</strong> Murf, Murf Studio, Murf API, and AI Translation.</li>
1945. </ul>
1946. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1947. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/murf-main" target="_blank" rel="noopener nofollow">Visit MURF.AI</a></div>
1948. </div>
1949. <p><img decoding="async" class="alignright wp-image-224391" src="https://www.eweek.com/wp-content/uploads/2024/04/play_ht-icon.png" alt="PlayHT icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/play_ht-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/play_ht-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1950. <h3><strong>4. PlayHT</strong></h3>
1951. <p>PlayHT is a leading AI voice generation company that has gone beyond the purview of most of its competitors to develop solutions like enterprise-specific AI voice agents and <a href="https://podcast.ai/" target="_blank" rel="noopener">podcast.ai</a>, a subsidiary of PlayHT that brings forth a weekly podcast created with generative AI voices and transcripts. The podcast covers a different topic each week and has even used Steve Jobs recordings and biographical information to record an episode with “him.”</p>
1952. <ul>
1953. <li><strong>Founded:</strong> 2016.</li>
1954. <li><strong>Founded by:</strong> Hammad Syed, Mahmoud Felfel.</li>
1955. <li><strong>Category and use cases:</strong> AI voice generation, AI voice agents, podcast content generation, content transcription.</li>
1956. <li><strong>Core products and solutions:</strong> PlayHT Studio, AI Voice Agents, PlayHT API, podcast.ai.</li>
1957. </ul>
1958. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1959. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/playht-main" target="_blank" rel="noopener nofollow">Visit PlayHT</a></div>
1960. </div>
1961. <p><img decoding="async" class="alignright wp-image-224389" src="https://www.eweek.com/wp-content/uploads/2024/04/elevenlabs-icon.png" alt="ElevenLabs icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/elevenlabs-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/elevenlabs-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1962. <h3><strong>5. ElevenLabs</strong></h3>
1963. <p>ElevenLabs is both an AI research firm and the producer of <a href="https://www.eweek.com/artificial-intelligence/best-ai-voice-generator/">AI voice generation</a> technology for personal and business use. It is frequently praised for its audio quality as well as its enterprise-level scalability and reasonable pricing structure. The company reached official unicorn status in January 2024, with an estimated value of $1.1 billion.</p>
1964. <ul>
1965. <li><strong>Founded:</strong> 2022.</li>
1966. <li><strong>Founded by:</strong> Piotr Dąbkowski, Mateusz Staniszewski.</li>
1967. <li><strong>Category and use cases:</strong> AI voice generation, voice cloning, dubbing, text to speech, speech to speech, API, fully managed video and podcast dubbing.</li>
1968. <li><strong>Core products and solutions:</strong> Text to Speech, Speech to Speech, Projects, Dubbing ElevenStudios, API, Languages, Voice Cloning, and Voice Library.</li>
1969. </ul>
1970. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1971. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/elevenlabs-main" target="_blank" rel="noopener nofollow">Visit ElevenLabs</a></div>
1972. </div>
1973. <p><img decoding="async" class="alignright wp-image-224083" src="https://www.eweek.com/wp-content/uploads/2024/02/colossyan-icon.png" alt="Colossyan icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/02/colossyan-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/02/colossyan-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1974. <h3><strong>6. Colossyan</strong></h3>
1975. <p>Colossyan is a leading competitor in the AI video generation space because its product includes several enable users to create high-quality corporate training videos with no actors or scripting necessary. Customization is a core part of this solution, and the <a href="https://www.eweek.com/artificial-intelligence/best-ai-meeting-assistants/">AI assistant</a> is a helpful resource for users who want support in content creation.</p>
1976. <ul>
1977. <li><strong>Founded:</strong> 2020.</li>
1978. <li><strong>Founded by:</strong> Dominik Mate Kovacs, Kristof Szabo, Zoltan Kovacs.</li>
1979. <li><strong>Category and use cases:</strong> AI video templates, AI avatars, text to speech, AI assistant, auto translation, AI voices, custom avatars, prompt to video generation.</li>
1980. <li><strong>Core products and solutions:</strong> Colossyan.</li>
1981. </ul>
1982. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1983. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/colossyan-main" target="_blank" rel="noopener nofollow">Visit Colossyan</a></div>
1984. </div>
1985. <p>&nbsp;</p>
1986. <p><img decoding="async" class="alignright wp-image-224448" src="https://www.eweek.com/wp-content/uploads/2024/04/assemblyai-icon.png" alt="AssemblyAI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/assemblyai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/assemblyai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1987. <h3><strong>7. AssemblyAI</strong></h3>
1988. <p>AssemblyAI is a unique generative AI company that focuses on speech AI modeling, specifically for transforming speech to text after important conversations and recordings, like calls, video calls, and podcasts. The tool includes several enterprise-ready features, including strong sentiment analysis capabilities and PII redaction. Most recently, the company released Universal-1, a multilingual speech recognition model that apparently surpasses Whisper-3 in performance accuracy and speed.</p>
1989. <ul>
1990. <li><strong>Founded:</strong> 2017.</li>
1991. <li><strong>Founded by:</strong> Dylan Fox.</li>
1992. <li><strong>Category and use cases:</strong> Speech AI modeling, speech to text, speaker diarization, auto punctuation and casing, confidence scores, automatic language detection, speech recognition modeling, streaming transcriptions, sentiment analysis, content moderation, PII redaction.</li>
1993. <li><strong>Core products and solutions:</strong> AssemblyAI, Universal-1, Speech-to-Text, Streaming Speech-to-Text, Speech Understanding, Audio Intelligence, and LeMUR.</li>
1994. </ul>
1995. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
1996. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/assemblyai-main" target="_blank" rel="noopener nofollow">Visit AssemblyAI</a></div>
1997. </div>
1998. <p><img decoding="async" class="alignright wp-image-222267" src="https://www.eweek.com/wp-content/uploads/2023/05/plask-icon.png" alt="Plask icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/plask-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/plask-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
1999. <h3><strong>8. Plask</strong></h3>
2000. <p>Plask creates technology to make animation easier and more cost-effective. The tool can be used to create animated or hyper-realistic 3D motion videos. It automates the entire process of creating designs and movement. This type of automated animation is certainly the leading edge of a larger trend, as AI influences movie and TV production by allowing faster, cheaper episode creation.</p>
2001. <ul>
2002. <li><strong>Founded:</strong> 2020.</li>
2003. <li><strong>Founded by:</strong> Jaejun Yu, Junho Lee.</li>
2004. <li><strong>Category and use cases:</strong> AI-generated animation, prototyping, AI motion capture, 3D character building.</li>
2005. <li><strong>Core products and solutions:</strong> Plask Motion.</li>
2006. </ul>
2007. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2008. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/plask-main" target="_blank" rel="noopener nofollow">Visit Plask</a></div>
2009. </div>
2010. <p><img decoding="async" class="alignright wp-image-224390" src="https://www.eweek.com/wp-content/uploads/2024/04/lovo-icon.png" alt="LOVO icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/lovo-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/lovo-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2011. <h3><strong>9. LOVO</strong></h3>
2012. <p>LOVO is a video and voice AI generation company that offers most of its features through a comprehensive platform called Genny. It’s a solid contender for users who need a platform with high-quality features for both voice and video, as well as built-in features for AI art generation and <a href="https://www.eweek.com/artificial-intelligence/ai-writing-tools/">AI writing</a>.</p>
2013. <ul>
2014. <li><strong>Founded:</strong> 2019.</li>
2015. <li><strong>Founded by:</strong> Tom Lee.</li>
2016. <li><strong>Category and use cases:</strong> AI video generation, voice cloning, content generation, art generation, text to speech, corporate training, social content generation.</li>
2017. <li><strong>Core products and solutions:</strong> Genny, Auto Subtitle Generator, Online Video Editor, AI Art Generator, Text to Speech, Voice Cloning, and AI Writer.</li>
2018. </ul>
2019. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2020. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/lovo-main" target="_blank" rel="noopener nofollow">Visit LOVO</a></div>
2021. </div>
2022. <p><img decoding="async" class="alignright wp-image-223214" src="https://www.eweek.com/wp-content/uploads/2023/10/deepbrain-icon.png" alt="Deepbrain icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/10/deepbrain-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/10/deepbrain-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2023. <h3><strong>10. DeepBrain AI</strong></h3>
2024. <p>DeepBrain AI is yet another AI video generation company that is moving upward – rapidly – through the ranks. It includes many of the video features you would expect from this type of generative AI — AI avatars, AI voices, templates, and video editing tools, for example — but it takes things a step further with truly interactive conversational avatars. Its AI Humans solution is currently taking the world by storm, with recent reports indicating that certain governments are investing in this technology to create virtual assistants for their bureaucracies, and others are investing in this technology to support communication needs for ALS patients and others with disabilities.</p>
2025. <ul>
2026. <li><strong>Founded:</strong> 2016.</li>
2027. <li><strong>Founded by:</strong> Eric Seyoung Jang.</li>
2028. <li><strong>Category and use cases:</strong> AI video generation, AI video editing, AI avatars, deepfakes, text to video, text to speech, conversational AI, AI conversation simulations.</li>
2029. <li><strong>Core products and solutions:</strong> AI Studios and AI Human.</li>
2030. </ul>
2031. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2032. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/deepbrain-ai-main" target="_blank" rel="noopener nofollow">Visit DeepBrain AI</a></div>
2033. </div>
2034. <p><img decoding="async" class="alignright wp-image-224084" src="https://www.eweek.com/wp-content/uploads/2024/02/elai-icon.png" alt="Elai icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/02/elai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/02/elai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2035. <h3><strong>11. Elai.io</strong></h3>
2036. <p>Elai.io provides AI video generation tools to users of all backgrounds, but its emphasis is on business and enterprise audiences. Built-in collaborative features include interactive storyboarding, customizable brand kits, and API power to support custom and scalable use cases. While Elai.io is a new competitor in marketplace that&#8217;s becoming crowded, it&#8217;s emphasis on the lucrative <a href="https://www.eweek.com/artificial-intelligence/generative-ai-enterprise-use-cases/">enterprise AI</a> market gives it an edge.</p>
2037. <ul>
2038. <li><strong>Founded:</strong> 2021.</li>
2039. <li><strong>Founded by:</strong> Vitalii Romanchenko, Alex Uspenskyi.</li>
2040. <li><strong>Category and use cases:</strong> AI video generation, custom avatars, voice cloning, text to video, AI storyboarding, AI video editing, auto translation, video personalization.</li>
2041. <li><strong>Core products and solutions:</strong> Elai platform, AI Storyboard, and API.</li>
2042. </ul>
2043. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2044. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/elai-ew-generative-ai-startups" target="_blank" rel="noopener nofollow sponsored">Visit Elai.io</a></div>
2045. </div>
2046. <p><img decoding="async" class="alignright wp-image-224449" src="https://www.eweek.com/wp-content/uploads/2024/04/sudowrite-icon.png" alt="Sudowrite icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/sudowrite-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/sudowrite-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2047. <h3><strong>12. Sudowrite</strong></h3>
2048. <p>Sudowrite is a creative tool offered by an generative AI startup that provides AI support for writers and authors. With this platform, users can flesh out an existing outline, expand on their current story, bounce ideas off the intelligent agent, or take other steps to expand their creative stories — including with images. Though this is a controversial platform, especially among creatives, several users have commented on the impressive nature of Sudowrite’s capabilities.</p>
2049. <ul>
2050. <li><strong>Founded:</strong> 2020.</li>
2051. <li><strong>Founded by:</strong> Amit Gupta, James Yu.</li>
2052. <li><strong>Category and use cases:</strong> AI writing assistant, AI content generation, autocompletion and expansion, AI rewrite, AI recommendations, AI art generation.</li>
2053. <li><strong>Core products and solutions:</strong> Sudowrite, Describe, Story Engine, Write, Expand, Rewrite, Feedback, Canvas, Brainstorm, Visualize, and Chrome Extension for Google Docs.</li>
2054. </ul>
2055. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2056. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/sudowrite-main" target="_blank" rel="noopener nofollow">Visit Sudowrite</a></div>
2057. </div>
2058. <p><img decoding="async" class="alignright wp-image-223009" src="https://www.eweek.com/wp-content/uploads/2023/04/tavus-icon.png" alt="Tavus icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/tavus-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/tavus-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2059. <h3><strong>13. Tavus</strong></h3>
2060. <p>Tavus is a generative AI company that creates new versions of videos that users have already created based on specific viewer qualities and other personalization requirements. The foundational template videos that users create give Tavus enough material to generate believable audio and visuals for future videos on different topics, making it possible to record only one video and send custom messages to each of your contacts.</p>
2061. <ul>
2062. <li><strong>Founded:</strong> 2020.</li>
2063. <li><strong>Founded by:</strong> Hassaan Raza, Quinn Favret.</li>
2064. <li><strong>Category and use cases:</strong> Automated video generation and personalization, voice cloning, media blending, lip sync, video templates, recruiting and marketing campaign videos.</li>
2065. <li><strong>Core products and solutions:</strong> Tavus, AI video APIs.</li>
2066. </ul>
2067. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2068. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/tavus-main" target="_blank" rel="noopener nofollow">Visit Tavus</a></div>
2069. </div>
2070. <h2><strong>Top 10 Generative AI Startups for Healthcare, Pharmaceuticals, and Life Sciences</strong></h2>
2071. <p><img decoding="async" class="alignright wp-image-224450" src="https://www.eweek.com/wp-content/uploads/2024/04/hippocratic_ai-icon.png" alt="Hippocratic AI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/hippocratic_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/hippocratic_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2072. <h3><strong>1. Hippocratic AI</strong></h3>
2073. <p>Hippocratic AI takes a unique and much-needed approach to <a href="https://www.eweek.com/artificial-intelligence/ai-healthcare-software/">AI healthcare</a>, offering a foundation model and comprehensive resources for managing patient care and relationships. The platform is designed to follow <a href="https://www.hhs.gov/hipaa/index.html">HIPAA</a> and other ethical expectations for healthcare, with AI healthcare agents that have been scored and reviewed by nurses and healthcare professionals. Most recently, Hippocratic AI has received funding from and started a partnership with NVIDIA, so expect this platform to scale quickly in the coming months.</p>
2074. <ul>
2075. <li><strong>Founded:</strong> 2022.</li>
2076. <li><strong>Founded by:</strong> Munjal Shah, Vishal Parikh, Meenesh Bhimani, Subho Mukherjee, Alex Miller, Saad Godil, Kim Parikh, Debajyoti Datta, Paul Gamble.</li>
2077. <li><strong>Category and use cases:</strong> Generative AI healthcare agents, artificial health general intelligence (HGI), LLM designed with constellation architecture.</li>
2078. <li><strong>Core products and solutions:</strong> Polaris model and AI healthcare agents.</li>
2079. </ul>
2080. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2081. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/hippocratic-ai-main" target="_blank" rel="noopener nofollow">Visit Hippocratic AI</a></div>
2082. </div>
2083. <p><img decoding="async" class="alignright wp-image-223011" src="https://www.eweek.com/wp-content/uploads/2023/04/paige-icon.png" alt="Paige icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/paige-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/paige-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2084. <h3><strong>2. Paige AI</strong></h3>
2085. <p>Paige AI uses generative tissue-based AI for optimized cancer diagnostics and pathology. The platform currently specializes in breast cancer and prostate cancer diagnoses but also offers other diagnostic resources for oncology professionals, hospitals, and labs.</p>
2086. <ul>
2087. <li><strong>Founded:</strong> 2017.</li>
2088. <li><strong>Founded by:</strong> David Klimstra, Norman Selby, Peter Schüffler, Thomas Fuchs</li>
2089. <li><strong>Category and use cases:</strong> Cancer diagnostics, computational pathology, biomarker detection, AI-driven image viewer.</li>
2090. <li><strong>Core products and solutions:</strong> Paige platform, Paige Prostate Suite (including Paige Prostate Detect), Paige Breast Suite (including Her2Complete), and FullFocus.</li>
2091. </ul>
2092. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2093. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/paige-ai-main" target="_blank" rel="noopener nofollow">Visit Paige AI</a></div>
2094. </div>
2095. <p><img decoding="async" class="alignright wp-image-224451" src="https://www.eweek.com/wp-content/uploads/2024/04/iambic_therapeutics-icon.png" alt="Iambic Therapeutics icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/iambic_therapeutics-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/iambic_therapeutics-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2096. <h3><strong>3. Iambic Therapeutics</strong></h3>
2097. <p>Iambic Therapeutics, previously known as <a href="https://www.entos.ai/" target="_blank" rel="noopener">Entos</a>, is a company made up of top scientists, biotechnology experts, and machine learning experts who are working to optimize drug discovery and therapeutics in oncology and other challenging fields. Their pipeline therapeutics has several different candidates in early-phase trials right now or scheduled for the coming months. The company has also patented or contributed to several AI-driven computational processes for drug discovery, all of which are part of its flagship platform.</p>
2098. <ul>
2099. <li><strong>Founded:</strong> 2019.</li>
2100. <li><strong>Founded by:</strong> Fred Manby, Sarah Trice, Thomas Miller.</li>
2101. <li><strong>Category and use cases:</strong> Drug discovery and development, physics-informed AI design, high-throughput experimentation, generative diffusion for protein-ligand structure prediction, AI-accelerated quantum chemistry, multi-parameter lead selection, generative molecular design, oncology therapeutics.</li>
2102. <li><strong>Core products and solutions:</strong> <a href="https://www.entos.ai/pipeline" target="_blank" rel="noopener">Pipeline of oncology therapeutics</a>, NeuralPlexer, OrbNet, PropANE, Magnet.</li>
2103. </ul>
2104. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2105. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/iambic-therapeutics-main" target="_blank" rel="noopener nofollow">Visit Iambic Therapeutics</a></div>
2106. </div>
2107. <p><img decoding="async" class="alignright wp-image-222252" src="https://www.eweek.com/wp-content/uploads/2023/05/insilico_medicine-icon.png" alt="Insilico Medicine icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/insilico_medicine-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/insilico_medicine-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2108. <h3><strong>4. Insilico Medicine</strong></h3>
2109. <p>Insilico Medicine is a pharmaceutical research and development startup that uses generative AI and <a href="https://www.eweek.com/big-data-and-analytics/machine-learning/">machine learning</a> to create more efficient processes across biology, chemistry, and analytics. It’s focused on reducing the time and cost of drug development, particularly in areas such as immunology, oncology, central nervous system disorders, and fibrosis.</p>
2110. <ul>
2111. <li><strong>Founded:</strong> 2014.</li>
2112. <li><strong>Founded by:</strong> Alex Zhavoronkov.</li>
2113. <li><strong>Category and use cases:</strong> Novel molecules generation with de-novo drug design and scalable engineering, clinical trial design and <a href="https://www.eweek.com/artificial-intelligence/generative-ai-vs-predictive-ai/">prediction</a>, deep biology analysis engine for multi-omics target discovery.</li>
2114. <li><strong>Core products and solutions:</strong> PHARMA.AI Suite, PandaOmics, Generative Biologics, Chemistry42, and inClinico.</li>
2115. </ul>
2116. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2117. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/insilico-medicine-main" target="_blank" rel="noopener nofollow">Visit Insilico Medicine</a></div>
2118. </div>
2119. <p><img decoding="async" class="alignright wp-image-222272" src="https://www.eweek.com/wp-content/uploads/2023/05/etcembly-icon.png" alt="Etcembly icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/etcembly-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/etcembly-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2120. <h3><strong>5. Etcembly</strong></h3>
2121. <p>Etcembly is a company that is improving T-cell receptor immunotherapies with its machine-learning platform, EMLy. The platform sifts through complex TCR patterns and datasets to discover and identify personalized TCR therapeutic options for patients. Near the end of 2023, the company also developed what it considers the world’s first immunotherapy drug designed through generative AI.</p>
2122. <ul>
2123. <li><strong>Founded:</strong> 2020.</li>
2124. <li><strong>Founded by:</strong> Michelle Teng, Jacob Hurst.</li>
2125. <li><strong>Category and use cases:</strong> ML database for TCR immunotherapies, AI-driven TCR discovery and identification, computer-assisted engineering, biotechnology, generative AI drug design.</li>
2126. <li><strong>Core products and solutions:</strong> EMLy, bispecific T cell engager.</li>
2127. </ul>
2128. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2129. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/etcembly-main" target="_blank" rel="noopener nofollow">Visit Etcembly</a></div>
2130. </div>
2131. <p><img decoding="async" class="alignright wp-image-222435" src="https://www.eweek.com/wp-content/uploads/2023/05/biomatter-icon.png" alt="Biomatter icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/biomatter-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/biomatter-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2132. <h3><strong>6. Biomatter</strong></h3>
2133. <p>Biomatter uses its Intelligent Architecture platform to design and develop proteins for health and sustainable manufacturing. It also goes beyond more traditional human protein expectations and supports use cases across molecular biology, food and beverage, biotherapeutics, and agriculture projects.</p>
2134. <ul>
2135. <li><strong>Founded:</strong> 2018.</li>
2136. <li><strong>Founded by:</strong> Donatas Repečka, Laurynas Karpus, Rolandas Meškys, Vykintas Jauniskis.</li>
2137. <li><strong>Category and use cases:</strong> Enzyme and protein design, sustainable manufacturing, biotherapeutics.</li>
2138. <li><strong>Core products and solutions:</strong> Intelligence Architecture platform.</li>
2139. </ul>
2140. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2141. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/biomatter-main" target="_blank" rel="noopener nofollow">Visit Biomatter</a></div>
2142. </div>
2143. <p><img decoding="async" class="alignright wp-image-223012" src="https://www.eweek.com/wp-content/uploads/2023/04/activ_surgical-icon.png" alt="Activ Surgical icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/activ_surgical-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/activ_surgical-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2144. <h3><strong>7. Activ Surgical</strong></h3>
2145. <p>Activ Surgical uses intraoperative surgical intelligence to give surgeons real-time information and better visuals during surgery. With some of the company’s most recent developments, surgeons can also perform surgeries with the help of augmented reality overlays.</p>
2146. <ul>
2147. <li><strong>Founded:</strong> 2017.</li>
2148. <li><strong>Founded by:</strong> Peter Kim, Seth Teicher.</li>
2149. <li><strong>Category and use cases:</strong> Surgical intelligence and assistance, multimodal advanced visualization, tissue evaluations.</li>
2150. <li><strong>Core products and solutions:</strong> ActivEdge Platform, ActivSight Intelligent Light.</li>
2151. </ul>
2152. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2153. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/activ-surgical-main" target="_blank" rel="noopener nofollow">Visit Activ Surgical</a></div>
2154. </div>
2155. <p><img decoding="async" class="alignright wp-image-222263" src="https://www.eweek.com/wp-content/uploads/2023/05/kaliber-icon.png" alt="Kaliber icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/kaliber-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/kaliber-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2156. <h3><strong>8. Kaliber Labs</strong></h3>
2157. <p>Kaliber Labs focuses on developing AI-powered surgical software for arthroscopic surgery needs. The company also provides solutions, such as Rekap, to help patients and other members of the surgical team get the analytics and other information they need more seamlessly.</p>
2158. <ul>
2159. <li><strong>Founded:</strong> 2015.</li>
2160. <li><strong>Founded by:</strong> Ray Rahman.</li>
2161. <li><strong>Category and use cases:</strong> Digital surgical assistance, AI-labeled patient communication platform, AI-powered feedback for surgeons, automated surgery stage recognition.</li>
2162. <li><strong>Core products and solutions:</strong> Kaliber products are still in development, and some will require FDA approval.</li>
2163. </ul>
2164. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2165. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/kaliber-labs-main" target="_blank" rel="noopener nofollow">Visit Kaliber Labs</a></div>
2166. </div>
2167. <p><img decoding="async" class="alignright wp-image-223022" src="https://www.eweek.com/wp-content/uploads/2023/04/osmo_ai-icon.png" alt="Osmo icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/osmo_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/osmo_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2168. <h3><strong>9. Osmo</strong></h3>
2169. <p>Osmo, founded in 2023 as a spinout from Google Research, uses machine learning and has created a map of odors and scents to help computers predict how something smells based on its molecular structure. From there, the company has begun working on “teleporting scent” and generating artificial smells. It hasn’t gone much farther than that at this point, but the vendor has stated its goal to use this technology to support human health and wellness.</p>
2170. <ul>
2171. <li><strong>Founded:</strong> 2023.</li>
2172. <li><strong>Founded by:</strong> Alex Wiltschko.</li>
2173. <li><strong>Category and use cases:</strong> Olfactory science and computer smelling capabilities.</li>
2174. <li><strong>Core products and solutions:</strong> Osmo AI, Scent Teleportation (in the works).</li>
2175. </ul>
2176. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2177. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/osmo-main" target="_blank" rel="noopener nofollow">Visit Osmo</a></div>
2178. </div>
2179. <p><img decoding="async" class="alignright wp-image-223013" src="https://www.eweek.com/wp-content/uploads/2023/04/aqemia-icon.png" alt="Aqemia icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/aqemia-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/aqemia-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2180. <h3><strong>10. Aqemia</strong></h3>
2181. <p>Aqemia uses AI that includes experimental data to scale drug discovery in the pharmatech space. The company touts how it uses both quantum and statistical mechanics algorithms to achieve better outcomes for critical and niche disease categories. At the end of 2023, a $140 million multi-year collaboration with Sanofi was announced, so expect to see more innovations from Aqemia on the horizon.</p>
2182. <ul>
2183. <li><strong>Founded:</strong> 2019.</li>
2184. <li><strong>Founded by:</strong> Emmanuelle Rolland-Martiano, Maximilien Levesque</li>
2185. <li><strong>Category and use cases:</strong> Drug discovery, drug discovery pipeline, drug design.</li>
2186. <li><strong>Core products and solutions:</strong> Drug discovery pipeline; more in the works.</li>
2187. </ul>
2188. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2189. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/aqemia-main" target="_blank" rel="noopener nofollow">Visit Aqemia</a></div>
2190. </div>
2191. <h2><strong>Top 4 Generative AI Startups for Synthetic Data and Data Analytics</strong></h2>
2192. <p><img decoding="async" class="alignright wp-image-222253" src="https://www.eweek.com/wp-content/uploads/2023/05/synthetaic-icon.png" alt="Synthetaic icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/synthetaic-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/synthetaic-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2193. <h3><strong>1. Synthetaic</strong></h3>
2194. <p>Synthetaic’s platform, RAIC, is primarily designed to generate <a href="https://www.eweek.com/artificial-intelligence/generative-ai-model/">AI models</a> that can ingest and analyze unstructured and unlabeled datasets from videos, satellite imagery, and video and drone footage. The company famously <a href="https://www.nytimes.com/interactive/2023/03/20/science/chinese-space-balloon-incident.html?unlocked_article_code=BNF10hx1ThWsnGkNyYD7S0XtMfFGlVL0GVkEUJC_npfVpytnuGrnZl5HJrOLTQBDoUV7e53q-3GS3BOgwWZ-U2wIwtBOfhmr_JsCYH8tWtJ3Lzg1Cvxbu_2hz4PNIAg4iZzKeQbkLMk3X2KULVwFT8hpZ57vNGRCPIwsdiqQ6-mNPTUCU7jXRczARnLIlDjv2P2AWESqedkBbPu470xhrdLUtneVY0aquHMeRHQHISIgz25aJQM8zSkWXzzl0PK8IkpYyAGGo2A09qL3zsv76BLCjcw78dI3Sjh5Sg7GPjTylocnH_uuWMZvFx9bJdXpkYwv7conNCWSYEzx8uT25pBiqHGGlBvPsiMxsH3OFhVVdgGoHGRamG8" target="_blank" rel="noopener">tracked the origin of a Chinese balloon in February 2023</a>. The company has also partnered with Microsoft and received additional funding for image-focused data analysis, which will likely lead to new products and use cases in the near future.</p>
2195. <ul>
2196. <li><strong>Founded:</strong> 2019.</li>
2197. <li><strong>Founded by:</strong> Corey Jaskolski.</li>
2198. <li><strong>Category and use cases:</strong> AI prototyping, unstructured data analysis, geospatial analysis, drone-based monitoring, content moderation, model training, unlabeled data ingestion, video security.</li>
2199. <li><strong>Core products and solutions:</strong> RAIC.</li>
2200. </ul>
2201. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2202. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/synthetaic-main" target="_blank" rel="noopener nofollow">Visit Synthetaic</a></div>
2203. </div>
2204. <p><img decoding="async" class="alignright wp-image-222128" src="https://www.eweek.com/wp-content/uploads/2023/04/synthesis_ai-icon.png" alt="Synthesis AI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/synthesis_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/synthesis_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2205. <h3><strong>2. Synthesis AI</strong></h3>
2206. <p>Synthesis AI is a cutting-edge <a href="https://www.eweek.com/artificial-intelligence/best-synthetic-data-software/">synthetic data generation startup</a> that creates computer-vision-driven imagery, videos, and human simulations. Its use cases span across industries and focus on ethical AI development. Most recently, the company also started OpenSynthetics, an open community for synthetic data usage and development.</p>
2207. <ul>
2208. <li><strong>Founded:</strong> 2019.</li>
2209. <li><strong>Founded by:</strong> Yashar Behzadi.</li>
2210. <li><strong>Category and use cases:</strong> Synthetic data generation for computer vision, image labeling, image generation, video generation, ID verification, automotive and driver monitoring, pedestrian detection, teleconferencing, security scenarios, virtual try-on, avatar creation, AR/VR/XR, 3D human models.</li>
2211. <li><strong>Core products and solutions:</strong> Data Visualizer, OpenSynthetics.</li>
2212. </ul>
2213. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2214. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/synthesis-ai-main" target="_blank" rel="noopener nofollow">Visit Synthesis AI</a></div>
2215. </div>
2216. <p><img decoding="async" class="alignright wp-image-222264" src="https://www.eweek.com/wp-content/uploads/2023/05/syntho-icon.png" alt="Syntho icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/syntho-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/syntho-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2217. <h3><strong>3. Syntho</strong></h3>
2218. <p>Syntho is a synthetic data generation startup that uses generative AI to create synthetic data twins of actual sensitive data. Syntho’s Syntho Engine is often used for realistic product demos, data analytics, and test data generation. Many users select this platform for its comparative ease of use and democratized approach to synthetic data generation and analytics.</p>
2219. <ul>
2220. <li><strong>Founded:</strong> 2020.</li>
2221. <li><strong>Founded by:</strong> Marijn Vonk, Simon Brouwer, Wim Kees Janssen</li>
2222. <li><strong>Category and use cases:</strong> Synthetic data generation, test data generation, data analytics, smart de-identification.</li>
2223. <li><strong>Core products and solutions:</strong> Syntho Engine.</li>
2224. </ul>
2225. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2226. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/syntho-main" target="_blank" rel="noopener nofollow">Visit Syntho</a></div>
2227. </div>
2228. <p><img decoding="async" class="alignright wp-image-223188" src="https://www.eweek.com/wp-content/uploads/2023/10/genrocket-icon.png" alt="GenRocket icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/10/genrocket-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/10/genrocket-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2229. <h3><strong>4. GenRocket</strong></h3>
2230. <p>GenRocket is a synthetic data generation solutions provider that emphasizes automation and enterprise-level scalability for data. Test data can be automatically generated, and what’s more, it can be generated in a dynamic format that’s easy to adjust and scale up as needed. The platform works across a variety of industries and use cases, including finance and insurance, healthcare, AI and ML model testing, ETL and big data testing, and other digital transformation projects.</p>
2231. <ul>
2232. <li><strong>Founded:</strong> 2012.</li>
2233. <li><strong>Founded by:</strong> Garth Rose, Hycel Taylor.</li>
2234. <li><strong>Category and use cases:</strong> Synthetic data generation, test data generation, data subsetting, data masking, data security, anomaly detection, fraud detection.</li>
2235. <li><strong>Core products and solutions:</strong> GenRocket Test Data Automation (TDA).</li>
2236. </ul>
2237. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2238. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/genrocket-main" target="_blank" rel="noopener nofollow">Visit GenRocket</a></div>
2239. </div>
2240. <h2><strong>Top 7 Generative AI Startups for Customer Service and Customer Experience</strong></h2>
2241. <p><img decoding="async" class="alignright wp-image-222254" src="https://www.eweek.com/wp-content/uploads/2023/05/gridspace-icon.png" alt="Gridspace icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/gridspace-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/gridspace-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2242. <h3><strong>1. Gridspace</strong></h3>
2243. <p>Gridspace offers solutions for organizations that want to better automate, manage, and analyze contact center and customer interactions. The company offers voice bots and live agent training, making it possible to create a hybrid bot-human agent workforce in healthcare, retail, and other customer-service-driven sectors.</p>
2244. <ul>
2245. <li><strong>Founded:</strong> 2012.</li>
2246. <li><strong>Founded by:</strong> Anthony Scodary, Evan Macmillan, Nico Benitez</li>
2247. <li><strong>Category and use cases:</strong> Conversational AI, virtual agents and voice bots, virtual contact centers, observability and call monitoring, customer service.</li>
2248. <li><strong>Core products and solutions:</strong> Gridspace Grace, Gridspace Sift Analytics, and Gridspace Pulse.</li>
2249. </ul>
2250. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2251. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/gridspace-main" target="_blank" rel="noopener nofollow">Visit Gridspace</a></div>
2252. </div>
2253. <p><img decoding="async" class="alignright wp-image-223015" src="https://www.eweek.com/wp-content/uploads/2023/04/revery_ai-icon.png" alt="Revery AI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/revery_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/revery_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2254. <h3><strong>2. Revery AI</strong></h3>
2255. <p>Revery AI offers a virtual dressing room and try-on experience that uses generative AI to help users more accurately visualize how clothing will look on them in real life. The company has partnered with some fashion retailers already to create a more integrated virtual shopping experience for users, and through this process, has developed a more comprehensive AI shopping assistant.</p>
2256. <ul>
2257. <li><strong>Founded:</strong> 2020.</li>
2258. <li><strong>Founded by:</strong> Jeffrey Zhang, Kedan Li.</li>
2259. <li><strong>Category and use cases:</strong> Virtual dressing room and try-on, virtual reality, garment tagging and classification, garment segmentation, smart shopping assistant, e-tail.</li>
2260. <li><strong>Core products and solutions:</strong> Revery.</li>
2261. </ul>
2262. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2263. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/revery-ai-main" target="_blank" rel="noopener nofollow">Visit Revery AI</a></div>
2264. </div>
2265. <p><img decoding="async" class="alignright wp-image-223016" src="https://www.eweek.com/wp-content/uploads/2023/04/veesual-icon.png" alt="Veesual icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/veesual-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/veesual-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2266. <h3><strong>3. Veesual</strong></h3>
2267. <p>Veesual is a generative AI startup that uses <a href="https://www.eweek.com/enterprise-apps/deep-learning/">deep learning</a> and image generation to enable virtual try-ons for fashion and e-commerce. It gives users the ability to select the model that looks most like them and sort through high-res images of different clothing items.</p>
2268. <ul>
2269. <li><strong>Founded:</strong> 2020.</li>
2270. <li><strong>Founded by:</strong> Damien Meurisse, Eric Gillaume, Maxime Patte.</li>
2271. <li><strong>Category and use cases:</strong> Virtual try-on and image generation.</li>
2272. <li><strong>Core products and solutions:</strong> Mix &amp; Match, Switch Model, and Digital Dressing Room.</li>
2273. </ul>
2274. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2275. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/veesual-main" target="_blank" rel="noopener nofollow">Visit Veesual</a></div>
2276. </div>
2277. <p><img decoding="async" class="alignright wp-image-224452" src="https://www.eweek.com/wp-content/uploads/2024/04/frame_ai-icon.png" alt="Frame AI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/frame_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/frame_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2278. <h3><strong>4. Frame AI</strong></h3>
2279. <p>Frame AI is a customer service and general audience analytics platform that uses artificial intelligence to support users who want to better understand their audiences’ wants and needs. The company focuses on behavioral and sentiment analysis, customer-specific insights, and customer segmentation. The platform uses stream-trigger augmented generation architecture rather than retrieval-augmented generation (RAG), meaning it&#8217;s focused on paying close attention to what’s happening in your business’s specific data stream and building intelligence around that.</p>
2280. <ul>
2281. <li><strong>Founded:</strong> 2016.</li>
2282. <li><strong>Founded by:</strong> George Davis, Brandon Reiss, Jesse St. Charles, John Gu, Robbie Mitchell.</li>
2283. <li><strong>Category and use cases:</strong> AI analytics for customer service, AI answer engines, trend detection, marketing, customer service, product feedback, stream-trigger augmented generation (STAG).</li>
2284. <li><strong>Core products and solutions:</strong> Frame AI.</li>
2285. </ul>
2286. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2287. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/frame-ai-main" target="_blank" rel="noopener nofollow">Visit Frame AI</a></div>
2288. </div>
2289. <p><img decoding="async" class="alignright wp-image-224453" src="https://www.eweek.com/wp-content/uploads/2024/04/zowie-icon.png" alt="Zowie icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/zowie-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/zowie-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2290. <h3><strong>5. Zowie</strong></h3>
2291. <p>Zowie is a generative AI and <a href="https://www.eweek.com/news/conversational-ai-platforms/">conversational AI company</a> that focuses on customer service in e-commerce environments. The platform includes a wide variety of intelligent customer support chatbots, including bots that are focused on email and sales conversations. The company also operates with its own LLM, X2, which is specifically designed for e-commerce conversational scenarios and is GDPR- and SOC-2 compliant.</p>
2292. <ul>
2293. <li><strong>Founded:</strong> 2018.</li>
2294. <li><strong>Founded by:</strong> Maja Schaefer, Matt Ciolek.</li>
2295. <li><strong>Category and use cases:</strong> AI customer service, e-commerce customer service, conversational AI, chatbot, business intelligence, e-commerce focused LLM.</li>
2296. <li><strong>Core products and solutions:</strong> Zowie Chatbot, Zowie Emailbot, Zowie Inbox, Zowie Salesbot, Zowie Proactive Chats, Zowie Business Intelligence, and Zowie X2.</li>
2297. </ul>
2298. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2299. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/zowie-main" target="_blank" rel="noopener nofollow">Visit Zowie</a></div>
2300. </div>
2301. <p><img decoding="async" class="alignright wp-image-224455" src="https://www.eweek.com/wp-content/uploads/2024/04/forethought-icon.png" alt="Forethought icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/forethought-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/forethought-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2302. <h3><strong>6. Forethought</strong></h3>
2303. <p>Forethought is a top provider of generative AI-driven customer service technology, with various features built in to help businesses understand and better direct customer queries more efficiently. At this time, most of Forethought’s customers are focused in e-commerce, SaaS, fintech, and travel companies. At the end of 2023, the company began to use Autoflows, a new feature for its Solve product that helps users autonomously manage policy creation and issue resolution for a variety of customer service and ticketing workflows.</p>
2304. <ul>
2305. <li><strong>Founded:</strong> 2017.</li>
2306. <li><strong>Founded by:</strong> Deon Nicholas, Sami Ghoche, Colm Doyle.</li>
2307. <li><strong>Category and use cases:</strong> AI-powered customer service, AI-powered employee resources, support ticket management, conversational routing.</li>
2308. <li><strong>Core products and solutions:</strong> SupportGPT, Triage, Assist, Autoflows, Solve, and Discover.</li>
2309. </ul>
2310. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2311. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/forethought-main" target="_blank" rel="noopener nofollow">Visit Forethought</a></div>
2312. </div>
2313. <p><img decoding="async" class="alignright wp-image-224454" src="https://www.eweek.com/wp-content/uploads/2024/04/lilyai-icon.png" alt="LilyAI icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/lilyai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/lilyai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2314. <h3><strong>7. Lily AI</strong></h3>
2315. <p>Lily AI is a product management and customer service AI company that helps businesses understand their customers and create smoother shopping experiences for their customers. The platform includes features for product attribution and labeling, site search support, AI-powered recommendations, and demand forecasting. With recent funding rounds and the introduction of a customer-focused content generation solution to the Lily AI stack, expect to see more growth from this company in the coming months.</p>
2316. <ul>
2317. <li><strong>Founded:</strong> 2015.</li>
2318. <li><strong>Founded by:</strong> Purva Gupta, Sowmiya Narayanan.</li>
2319. <li><strong>Category and use cases:</strong> Branded content generation, product description generation, demand forecasting, recommendations, site search.</li>
2320. <li><strong>Core products and solutions:</strong> Product Attribution, Lily E-Commerce, and Lily Demand Forecasting.</li>
2321. </ul>
2322. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2323. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/lily-ai-main" target="_blank" rel="noopener nofollow">Visit Lily AI</a></div>
2324. </div>
2325. <h2><strong>Top 8 Generative AI Startups for Gaming and Entertainment</strong></h2>
2326. <p><img decoding="async" class="alignright wp-image-222429" src="https://www.eweek.com/wp-content/uploads/2023/05/runway-icon.png" alt="Runway icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/runway-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/runway-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2327. <h3><strong>1. Runway</strong></h3>
2328. <p>Runway is a now-established leader in AI-powered, cinema-quality video and content production. Specifically with Runway Studios, filmmakers of varying skill levels can use Gen-1 and Gen-2 models, as well as several other image and content editing tools, to create high-quality video content without actors or original footage. With OpenAI’s recent announcement of the text-to-video platform, Sora, Runway is expected to compete against the new tool and perhaps optimize its existing feature set or add new features to win this race.</p>
2329. <ul>
2330. <li><strong>Founded:</strong> 2018.</li>
2331. <li><strong>Founded by:</strong> Cristóbal Valenzuela, Anastasis Germanidis, Alejandro Matamala-Ortiz.</li>
2332. <li><strong>Category and use cases:</strong> Text to video generation, video to video generation, text to image generation, image to image generation, frame interpolation, image expansion, 3D texture generation, image variations, inpainting, motion tracking, image editing and effects.</li>
2333. <li><strong>Core products and solutions:</strong> Gen-1, Gen-2, and Runway Studios.</li>
2334. </ul>
2335. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2336. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/runway-main" target="_blank" rel="noopener nofollow">Visit Runway</a></div>
2337. </div>
2338. <p><img decoding="async" class="alignright wp-image-222256" src="https://www.eweek.com/wp-content/uploads/2023/05/latitude_io-icon.png" alt="Latitude.io icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/latitude_io-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/latitude_io-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2339. <h3><strong>2. Latitude.io</strong></h3>
2340. <p>Latitude.io is one of the first and foremost providers of AI-generated gaming experiences. With its flagship AI Dungeon, users can enter actions into the game while AI drives the rest of the game narrative forward.</p>
2341. <ul>
2342. <li><strong>Founded:</strong> 2019.</li>
2343. <li><strong>Founded by:</strong> Alan Walton, Nick Walton.</li>
2344. <li><strong>Category and use cases:</strong> Gaming.</li>
2345. <li><strong>Core products and solutions:</strong> AI Dungeon.</li>
2346. </ul>
2347. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2348. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/latitude-main" target="_blank" rel="noopener nofollow">Visit Latitude.io</a></div>
2349. </div>
2350. <p><img decoding="async" class="alignright wp-image-222268" src="https://www.eweek.com/wp-content/uploads/2023/05/character_ai-icon.png" alt="Character.ai icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/character_ai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/character_ai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2351. <h3><strong>3. Character.AI</strong></h3>
2352. <p>Character.AI is a company that offers creative ways to develop and chat with user-created characters. Though the tool can simply be used for fun conversations with “real” or imagined people, it can also be used to simulate important conversations like job interviews.</p>
2353. <ul>
2354. <li><strong>Founded:</strong> 2021.</li>
2355. <li><strong>Founded by:</strong> Daniel De Freitas, Noam Shazeer.</li>
2356. <li><strong>Category and use cases:</strong> Character generation with virtual chat and entertainment.</li>
2357. <li><strong>Core products and solutions:</strong> Character.ai.</li>
2358. </ul>
2359. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2360. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/character-ai-main" target="_blank" rel="noopener nofollow">Visit Character.AI</a></div>
2361. </div>
2362. <p><img decoding="async" class="alignright wp-image-222266" src="https://www.eweek.com/wp-content/uploads/2023/05/charisma-icon.png" alt="Charisma icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/charisma-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/charisma-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2363. <h3><strong>4. Charisma Entertainment</strong></h3>
2364. <p>Charisma Entertainment provides a plug-and-play platform for various entertainment companies and storytellers to create realistic characters and storylines that adjust to player/user inputs. Examples of media created with Charisma include The Kraken Wakes game and the Will Play virtual learning platform.</p>
2365. <ul>
2366. <li><strong>Founded:</strong> 2015.</li>
2367. <li><strong>Founded by:</strong> Guy Gadney.</li>
2368. <li><strong>Category and use cases:</strong> AI storytelling, entertainment, gaming, virtual learning, intelligent character development, scripting tools, generative AI dialogue engine.</li>
2369. <li><strong>Core products and solutions:</strong> Charisma.ai.</li>
2370. </ul>
2371. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2372. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/charisma-main" target="_blank" rel="noopener nofollow">Visit Charisma Entertainment</a></div>
2373. </div>
2374. <p><img decoding="async" class="alignright wp-image-223017" src="https://www.eweek.com/wp-content/uploads/2023/04/replika-icon.png" alt="Replika icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/replika-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/replika-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2375. <h3><strong>5. Replika</strong></h3>
2376. <p>Replika is a generative AI solution that creates AI companions for AI-generated chats that have a more personal touch. The interface of this app is designed to not only allow users to have realistic conversations but also to spend time with their Replika characters in augmented reality experiences.</p>
2377. <ul>
2378. <li><strong>Founded:</strong> 2015.</li>
2379. <li><strong>Founded by:</strong> Eugenia Kuyda.</li>
2380. <li><strong>Category and use cases:</strong> Conversational AI, AI companion/avatar generation, augmented reality.</li>
2381. <li><strong>Core products and solutions:</strong> Replika.</li>
2382. </ul>
2383. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2384. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/replika-main" target="_blank" rel="noopener nofollow">Visit Replika</a></div>
2385. </div>
2386. <h3><img decoding="async" class="alignright wp-image-223018" src="https://www.eweek.com/wp-content/uploads/2023/04/aimi_fm-icon.png" alt="Aimi.fm icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/aimi_fm-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/aimi_fm-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></h3>
2387. <h3><strong>6. Aimi.fm</strong></h3>
2388. <p>Aimi.fm provides users with a generative AI music player that generates endless loops of music in different genres for listeners. With Aimi Studio, music producers of all skill levels can access basic music creation functionalities. With Aimi Music Services, music as a service capabilities are available for business and enterprise users who want to create copyright and royalty-free music.</p>
2389. <ul>
2390. <li><strong>Founded:</strong> 2019.</li>
2391. <li><strong>Founded by:</strong> Edward Balassanian.</li>
2392. <li><strong>Category and use cases:</strong> Generative music creation, music production, content curation.</li>
2393. <li><strong>Core products and solutions:</strong> Aimi, Aimi Studio, and Aimi Music Services.</li>
2394. </ul>
2395. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2396. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/aimi-main" target="_blank" rel="noopener nofollow">Visit Aimi.fm</a></div>
2397. </div>
2398. <p><img decoding="async" class="alignright wp-image-223020" src="https://www.eweek.com/wp-content/uploads/2023/04/inworld-icon.png" alt="Inworld icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/inworld-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/inworld-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2399. <h3><strong>7. Inworld AI</strong></h3>
2400. <p>Inworld AI is a company that uses generative AI and text-to-character prompts to help gaming and media companies make non-player characters (NPC) seem more realistic. These characters may appear in traditional video games, VR, training, and other types of digital entertainment and experiences.</p>
2401. <ul>
2402. <li><strong>Founded:</strong> 2021.</li>
2403. <li><strong>Founded by:</strong> Ilya Gelfenbeyn, Kylan Gibbs, Michael Ermolenko.</li>
2404. <li><strong>Category and use cases:</strong> NPC character generation, gaming, training and education, customer experience agents, other forms of digital entertainment and interaction.</li>
2405. <li><strong>Core products and solutions:</strong> Inworld Engine, Inworld Studio, Inworld Core, and Inworld Arcade.</li>
2406. </ul>
2407. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2408. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/inworld-main" target="_blank" rel="noopener nofollow">Visit Inworld AI</a></div>
2409. </div>
2410. <h3><img decoding="async" class="alignright wp-image-223019" src="https://www.eweek.com/wp-content/uploads/2023/04/soundraw-icon.png" alt="SOUNDRAW icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/04/soundraw-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/soundraw-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></h3>
2411. <h3><strong>8. SOUNDRAW</strong></h3>
2412. <p>SOUNDRAW is a generative AI solution for music composition that can be tailored to different genres, instruments, and other musical variables. It is most frequently used to generate music that can be used in the background of video creations. The company also offers a music generation API to support business users who want to incorporate custom music into their products.</p>
2413. <ul>
2414. <li><strong>Founded:</strong> 2020.</li>
2415. <li><strong>Founded by:</strong> Daigo Kusunoki.</li>
2416. <li><strong>Category and use cases:</strong> Music and audio generation for videos, podcasts, games, social media, TV, radio, and other mediums.</li>
2417. <li><strong>Core products and solutions:</strong> SOUNDRAW, AI Music Generation API.</li>
2418. </ul>
2419. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2420. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/soundraw-main" target="_blank" rel="noopener nofollow">Visit SOUNDRAW</a></div>
2421. </div>
2422. <h2><strong>Top 8 Generative AI Startups for Project Management, Legal, and Business Operations</strong></h2>
2423. <p><img decoding="async" class="alignright wp-image-222269" src="https://www.eweek.com/wp-content/uploads/2023/05/notion-icon.png" alt="Notion icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/notion-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/notion-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2424. <h3><strong>1. Notion</strong></h3>
2425. <p>Notion has found much of its success in providing task management and other kinds of daily work management capabilities to creatives and other project teams. Notion AI was released to the public in early 2023 and quickly gained traction as an option for teams that want to summarize notes, generate and fill out tables, create quick lists and action items, and write emails with the help of generative AI.</p>
2426. <ul>
2427. <li><strong>Founded:</strong> 2013.</li>
2428. <li><strong>Founded by:</strong> Chris Prucha, Ivan Zhao, Simon Last</li>
2429. <li><strong>Category and use cases:</strong> Content generation, content summarization, content suggestions and translations, Q&amp;A, note taking, email writing, task management.</li>
2430. <li><strong>Core products and solutions:</strong> Notion AI, Wikis, Projects, and Docs.</li>
2431. </ul>
2432. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2433. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/notion-ai-ew-generative-ai-startups" target="_blank" rel="noopener nofollow sponsored">Visit Notion</a></div>
2434. </div>
2435. <p><img decoding="async" class="alignright wp-image-224456" src="https://www.eweek.com/wp-content/uploads/2024/04/harvey-icon.png" alt="Harvey icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/harvey-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/harvey-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2436. <h3><strong>2. Harvey</strong></h3>
2437. <p>Harvey is a legal AI startup that has grown incredibly quickly, reaching an estimated $715 million valuation after about a year in operation. The company targets its solutions for elite law firms and professional services firms, now offering its tools and support through a Microsoft Azure professional services platform. With recent additional funding rounds, a growing number of top-tier law firm partnerships, and its recent acquisition of Mirage, Harvey is a startup to watch closely.</p>
2438. <ul>
2439. <li><strong>Founded:</strong> 2022.</li>
2440. <li><strong>Founded by:</strong> Winston Weinberg, Gabriel Pereyra.</li>
2441. <li><strong>Category and use cases:</strong> Legal generative AI, AI support for professional services, AI chatbot, AI-powered professional services platform.</li>
2442. <li><strong>Core products and solutions:</strong> AI-powered professional services platform on Microsoft Azure; most other solutions in the works or under wraps.</li>
2443. </ul>
2444. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2445. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/harvey-main" target="_blank" rel="noopener nofollow">Visit Harvey</a></div>
2446. </div>
2447. <p><img decoding="async" class="alignright wp-image-223593" src="https://www.eweek.com/wp-content/uploads/2023/10/ironclad-icon.png" alt="Ironclad icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/10/ironclad-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/10/ironclad-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2448. <h3><strong>3. Ironclad</strong></h3>
2449. <p>Ironclad offers AI contract management software for industries and use cases ranging from legal and procurement to marketing, sales, IT, HR, and finance. The platform is designed to help users manage the entire contract lifecycle, providing tools for designing, editing, and reporting on the results of different contracts and terms. Ironclad AI is a subset of the platform that includes intelligent contract analysis and management tools for automated approvals, flagging, and other support that frees up human employees for more complicated tasks and strategy work.</p>
2450. <ul>
2451. <li><strong>Founded:</strong> 2015.</li>
2452. <li><strong>Founded by:</strong> Jason Boehmig, Cai GoGwilt.</li>
2453. <li><strong>Category and use cases:</strong> AI-powered contract lifecycle management, workflow designer, AI editor, reporting, embedded contracts, terms management.</li>
2454. <li><strong>Core products and solutions:</strong> Ironclad CLM Software and Ironclad Clickwrap.</li>
2455. </ul>
2456. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2457. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/ironclad-main" target="_blank" rel="noopener nofollow">Visit Ironclad</a></div>
2458. </div>
2459. <p><img decoding="async" class="alignright wp-image-224187" src="https://www.eweek.com/wp-content/uploads/2024/03/taskade-icon.png" alt="Taskade icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/03/taskade-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/03/taskade-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2460. <h3><strong>4. Taskade</strong></h3>
2461. <p>Taskade is a productivity and task management solutions company that uses AI agents, AI writing assistants, and other AI-supported tools to help users manage their tasks more effectively. Users can take advantage of Taskade for task list generation and other creative project management visualizations, as well as for more automated workflows in PM, marketing, and sales task management. Taskade is used by many notable companies, including ESPN, Indeed, Verizon, Lyft, Sony, Costco, Nike, Tesla, Netflix, AirBNB, and Disney.</p>
2462. <ul>
2463. <li><strong>Founded:</strong> 2017.</li>
2464. <li><strong>Founded by:</strong> John Xie, Dionis Loire, Stan Chang.</li>
2465. <li><strong>Category and use cases:</strong> AI task management, AI writing assistant, AI agents, mind map and flowchart creation, project management, marketing assistant, Ai prompt templates, document summarization, AI personas, action item and task generation.</li>
2466. <li><strong>Core products and solutions:</strong> Taskade AI, powered by either OpenAI GPT-3.5 Turbo, GPT-4, or GPT-4 128K.</li>
2467. </ul>
2468. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2469. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/taskade-ew-generative-ai-startups" target="_blank" rel="noopener nofollow sponsored">Visit Taskade</a></div>
2470. </div>
2471. <p><img decoding="async" class="alignright wp-image-224457" src="https://www.eweek.com/wp-content/uploads/2024/04/humata-icon.png" alt="Humata icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/humata-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/humata-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2472. <h3><strong>5. Humata</strong></h3>
2473. <p>Humata is an AI company that focuses on helping users quickly get useful information out of PDFs and files, even if they’re incredibly long and dense. Users can upload as many files as they want, ask questions of the files, and highlight important citations for continued reference. A free version of this tool is available, but it also scales to enterprise-level requirements and includes enterprise security and compliance protections.</p>
2474. <ul>
2475. <li><strong>Founded:</strong> 2022.</li>
2476. <li><strong>Founded by:</strong> Cyrus Khajvandi, Dan Rasmuson.</li>
2477. <li><strong>Category and use cases:</strong> PDF AI, content summarization for documents and files, document-focused Q&amp;A, AI chat, citation highlights, website embedding.</li>
2478. <li><strong>Core products and solutions:</strong> Humata.</li>
2479. </ul>
2480. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2481. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/humata-main" target="_blank" rel="noopener nofollow">Visit Humata</a></div>
2482. </div>
2483. <p><img decoding="async" class="alignright wp-image-224459" src="https://www.eweek.com/wp-content/uploads/2024/04/simplifai-icon.png" alt="Simplifai icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2024/04/simplifai-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/simplifai-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2484. <h3><strong>6. Simplifai</strong></h3>
2485. <p>Simplifai labels itself as an AI-powered automation platform and offers solutions primarily for banking, finance, insurance, and public sector companies. The platform itself includes many features to help users more effectively manage claims, debts, and other complicated document formats. With its commitment to GDPR, ISO/IEC 27001:2013, and other data privacy and security protocols — as well as its purpose-built InsuranceGPT tool — Simplifai is a leading provider of AI tools for highly regulated FinTech businesses.</p>
2486. <ul>
2487. <li><strong>Founded:</strong> 2017.</li>
2488. <li><strong>Founded by:</strong> Bård Myrstad, Erik Leung.</li>
2489. <li><strong>Category and use cases:</strong> Intelligent automation, business process automation, AI-powered chat and customer service, claims and document handling, compliance management, banking and finance, insurance, public sector.</li>
2490. <li><strong>Core products and solutions:</strong> Simplifai AI Automation Platform, Insurance GPT, Chat Processing Module, Document Processing Module, and Written Inquiry Processing Module.</li>
2491. </ul>
2492. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2493. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/simplifai-main" target="_blank" rel="noopener nofollow">Visit Simplifai</a></div>
2494. </div>
2495. <p><img decoding="async" class="alignright wp-image-222262" src="https://www.eweek.com/wp-content/uploads/2023/05/patentpal-icon.png" alt="PatentPal icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/patentpal-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/patentpal-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2496. <h3><strong>7. PatentPal</strong></h3>
2497. <p>PatentPal is a tool that is specifically designed with patent law requirements in mind. The tool looks at claims that have already been written by the author in order to generate tonally and factually accurate patent specification drafts on its own. All of this works in efforts to protect intellectual property.</p>
2498. <ul>
2499. <li><strong>Founded:</strong> 2018.</li>
2500. <li><strong>Founded by:</strong> Jack Xu.</li>
2501. <li><strong>Category and use cases:</strong> Content generation and summarization for patent applications and intellectual property.</li>
2502. <li><strong>Core products and solutions:</strong> PatentPal.</li>
2503. </ul>
2504. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2505. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/patentpal-main" target="_blank" rel="noopener nofollow">Visit PatentPal</a></div>
2506. </div>
2507. <p><img decoding="async" class="alignright wp-image-222431" src="https://www.eweek.com/wp-content/uploads/2023/05/adept-icon.png" alt="Adept icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/adept-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/adept-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2508. <h3><strong>8. Adept AI</strong></h3>
2509. <p>Adept AI is a newer OpenAI competitor that relies on AI and <a href="https://www.eweek.com/big-data-and-analytics/natural-language-processing/">natural language</a> commands to create better interactions between humans and computers in the workplace. It specifically automates and simplifies workflows in common business tools, including Salesforce and Google Sheets. Its ACT-1 model has been around for a bit now, but at the beginning of 2024, Adept released Adept Fuyu-Heavy. This is a highly capable multimodal model that should expand Adept AI’s customer base.</p>
2510. <ul>
2511. <li><strong>Founded:</strong> 2022.</li>
2512. <li><strong>Founded by:</strong> Ashish Vaswani, David Luan, Niki Parmar.</li>
2513. <li><strong>Category and use cases:</strong> Business and software development, process automation, in-app task and goal development, generative AI models, multimodal content generation.</li>
2514. <li><strong>Core products and solutions:</strong> ACT-1, Adept Fuyu-Heavy.</li>
2515. </ul>
2516. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2517. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/adept-main" target="_blank" rel="noopener nofollow">Visit Adept AI</a></div>
2518. </div>
2519. <h2><strong>Top 3 Generative AI Startups for Chatbots, Search, and Personal Assistance</strong></h2>
2520. <p><img decoding="async" class="alignright wp-image-222990" src="https://www.eweek.com/wp-content/uploads/2023/09/perplexity-icon.png" alt="Perplexity icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/09/perplexity-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/09/perplexity-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2521. <h3><strong>1. Perplexity AI</strong></h3>
2522. <p><a href="https://www.eweek.com/artificial-intelligence/perplexity-ai-vs-chat-gpt/">Perplexity AI</a> is an AI search engine with an interface that slightly resembles all of the other leading chatbots and LLMs, but with a greater focus on personalization and conversational accessibility. In the responses that Perplexity generates, a detailed response and explanation is presented; several sources and relevant images are included in these results, as well as related queries that can support users who want to continue their research. In essence, this tool combines the best of a traditional search engine with an AI model’s power and conversational capabilities.</p>
2523. <ul>
2524. <li><strong>Founded:</strong> 2022.</li>
2525. <li><strong>Founded by:</strong> Aravind Srinivas, Denis Yarats, Andy Konwinski, Johnny Ho.</li>
2526. <li><strong>Category and use cases:</strong> AI search engine, conversational AI, contextual AI.</li>
2527. <li><strong>Core products and solutions:</strong> Perplexity.</li>
2528. </ul>
2529. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2530. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/perplexity-main" target="_blank" rel="noopener nofollow">Visit Perplexity AI</a></div>
2531. </div>
2532. <p><img decoding="async" class="alignright wp-image-222265" src="https://www.eweek.com/wp-content/uploads/2023/05/andi-icon.png" alt="Andi icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/andi-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/andi-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></p>
2533. <h3><strong>2. Andi</strong></h3>
2534. <p>Andi is a generative-AI-driven search bot that not only helps users search for information across the web but also summarizes and further explains that information. Users appreciate Andi’s clean interface and lack of ads. Since the Andi search engine was first released in early 2022, several updates have been made, but the product is still in testing and not intended for commercial or production use at this time.</p>
2535. <ul>
2536. <li><strong>Founded:</strong> 2021.</li>
2537. <li><strong>Founded by:</strong> Angela Hoover.</li>
2538. <li><strong>Category and use cases:</strong> AI semantic search, chatbot, search results summarization.</li>
2539. <li><strong>Core products and solutions:</strong> Andi.</li>
2540. </ul>
2541. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2542. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/perplexity-main" target="_blank" rel="noopener nofollow">Visit Andi</a></div>
2543. </div>
2544. <h3><img decoding="async" class="alignright wp-image-222424" src="https://www.eweek.com/wp-content/uploads/2023/05/you_com-icon.png" alt="You.com icon." width="180" height="180" srcset="https://www.eweek.com/wp-content/uploads/2023/05/you_com-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/you_com-icon-150x150.png 150w" sizes="(max-width: 180px) 100vw, 180px" /></h3>
2545. <h3><strong>3. You.com</strong></h3>
2546. <p>You.com is a private and secure search engine that summarizes and personalizes results with generative AI. The generative AI solution is available as a Chrome extension and can be used through iOS, Android, and WhatsApp. The company also boasts YOU API, which it claims is the first full web index for LLMs.</p>
2547. <ul>
2548. <li><strong>Founded:</strong> 2020.</li>
2549. <li><strong>Founded by:</strong> Bryan McCann, Richard Socher.</li>
2550. <li><strong>Category and use cases:</strong> AI-driven search, AI assistant, AI chat, content generation, content summarization and personalization.</li>
2551. <li><strong>Core products and solutions:</strong> You.com, YOU API, and YOU LLM OS.</li>
2552. </ul>
2553. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2554. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/you.com-main" target="_blank" rel="noopener nofollow">Visit You.com</a></div>
2555. </div>
2556. <h2><strong>Why Is Generative AI Important?</strong></h2>
2557. <p><a href="https://www.eweek.com/artificial-intelligence/perplexity-ai-vs-chat-gpt/">Generative AI</a> is important because it takes AI in a more mature direction, making the technology more accessible and useful to a larger audience.</p>
2558. <p>Individuals can make use of this technology in their daily lives at little to no cost. More important, breakthrough innovations in areas like medical imaging and drug discovery are now possible to develop at scale because of generative AI.</p>
2559. <p>Finally, this technology can better define, contextualize, and automate business operational tasks than previous types of AI ever could, making this a technology that is already being applied to and ripe for more <a href="https://www.eweek.com/artificial-intelligence/generative-ai-enterprise-use-cases/" target="_blank" rel="noopener">enterprise use cases</a>.</p>
2560. <h2><strong>How Does Generative AI Work?</strong></h2>
2561. <p>Depending on what users are trying to generate, generative AI works through different types of large AI <a href="https://www.eweek.com/artificial-intelligence/large-language-model/" target="_blank" rel="noopener">large language models</a> that undergo extensive training with massive datasets and <a href="https://www.eweek.com/enterprise-apps/deep-learning/">deep learning</a> algorithms on an ongoing basis.</p>
2562. <p>This type of training allows <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/" target="_blank" rel="noopener">generative AI tools</a> to pull data-driven knowledge from all corners of the web and other resources, which makes it possible for these AIs to generate believable, human-like data and results. The deep learning, <a href="https://www.eweek.com/big-data-and-analytics/neural-networks/">neural network design</a> intends to mimic a human brain, which also helps generative AI software to understand context, relationships, patterns, and other connections that have traditionally required human thinking to grasp.</p>
2563. <p><em><strong>To learn how generative AI models work and how users can make the most of their capabilities, read this guide: <a href="https://www.eweek.com/artificial-intelligence/generative-ai-model/" target="_blank" rel="noopener">What Is a Generative AI Model?</a></strong></em></p>
2564. <h2><strong>Bottom Line: The Generative AI Startups to Watch</strong></h2>
2565. <p>Ever since the debut of ChatGPT in November of 2022, <a href="https://www.eweek.com/big-data-and-analytics/what-is-generative-ai/" target="_blank" rel="noopener">generative AI</a> — and <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/" target="_blank" rel="noopener">artificial intelligence</a> in general — has taken a huge leap forward and permeated various industries and business sectors. Business leaders, consumers, and investors have all woken up to the vast potential for generative AI to support or take over countless tasks, freeing up actual humans to do higher-value work.</p>
2566. <p>It’s the young companies on this list that will shape the <a href="https://www.eweek.com/enterprise-apps/artificial-intelligence-future/">future of AI</a>, which in turn will shape the future of technology and society at large in many profound ways. Much like with any other nascent and dynamic area of technology, expect these players to shift their products, roles, and impact in the coming weeks and months and on an ongoing basis.</p>
2567. <p><em><strong>To see a list of the leading generative AI apps, read our guide: <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/">Top 20 Generative AI Tools and Apps 2024</a></strong></em></p>
2568. <p>The post <a href="https://www.eweek.com/artificial-intelligence/generative-ai-startups/">Top 75 Generative AI Startups Innovating In 2024</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
2569. ]]></content:encoded>
2573. </item>
2574. <item>
2575. <title>Cisco&#8217;s Splunk Acquisition: A Data-First AI Company Transformation</title>
2576. <link>https://www.eweek.com/artificial-intelligence/cisco-splunk-acquisition/</link>
2578. <dc:creator><![CDATA[Zeus Kerravala]]></dc:creator>
2579. <pubDate>Tue, 16 Apr 2024 20:36:38 +0000</pubDate>
2580. <category><![CDATA[Artificial Intelligence]]></category>
2581. <category><![CDATA[Latest News]]></category>
2582. <guid isPermaLink="false">https://www.eweek.com/?p=224425</guid>
2583.  
2584. <description><![CDATA[<p>Cisco looks to leverage Splunk to be a world-class data company</p>
2585. <p>The post <a href="https://www.eweek.com/artificial-intelligence/cisco-splunk-acquisition/">Cisco&#8217;s Splunk Acquisition: A Data-First AI Company Transformation</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
2586. ]]></description>
2587. <content:encoded><![CDATA[<p>Cisco made big news in late 2023 when it announced it was acquiring Splunk for $28B, making it, by far, the largest acquisition in the company&#8217;s history.</p>
2588. <p>This move created massive speculation from Cisco watchers as to why the company was making such a bold move. The most obvious thought was that it could help the security business, which Cisco is currently revamping with its security cloud. There was also the possibility that it could add another dimension to its network business. Other advantages include full stack observability and using the data in Splunk&#8217;s services group to drive better business outcomes.</p>
2589. <p>Until recently, Cisco and Splunk were mum on the topic as they couldn’t say much legally while the deal was closing. In March, Cisco completed the acquisition of Splunk, which gave the company the freedom to lay out its vision. Cisco recently held a roundtable with Splunk to discuss how the acquisition will be used to transform its business.</p>
2590. <h2><strong>Cisco and Splunk: A Shared Strategic Vision</strong></h2>
2591. <p>In the roundtable, Cisco EVP and Chief Customer Experience Officer Liz Centoni moderated a discussion with Tom Casey, SVP and general manager of Splunk products and technology, and Jeetu Patel, EVP and general manager of security and collaboration at Cisco. The panel discussed how the combined companies can offer unparalleled visibility across the entire digital landscape, leveraging their combined strengths in networking, security, observability, and artificial intelligence.</p>
2592. <p>The session started with a discussion on Cisco&#8217;s motivation to acquire Splunk. The purchase was driven by a strategic vision that is based on three foundational pillars:</p>
2593. <h3><strong>Data as a Differentiator</strong></h3>
2594. <p>Both companies recognize that while <a href="https://www.eweek.com/artificial-intelligence/free-ai-tools/" target="_blank" rel="noopener">AI tools</a> and models are widely available, the true competitive advantage lies in the quality, trustworthiness, and actionable insights derived from data.</p>
2595. <p>Cisco has access to extensive datasets through its networking, security, and operations. Meanwhile, Splunk has its own high-quality data and analytics capabilities.</p>
2596. <p>Cisco&#8217;s Centoni underscored this importance in the <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/">artificial intelligence</a> era when she stated, “When you think about AI, everyone has access to the same AI tools and models. It’s the data that’s the differentiator.” The combination of Cisco and Splunk gives Cisco more data than any other infrastructure provider.</p>
2597. <h3><strong>Unified Security and Observability</strong></h3>
2598. <p>Cisco and Splunk plan to offer more cohesive observability solutions, providing customers with a complete view of their digital infrastructure. This integration will reduce the time spent on troubleshooting problems by analyzing connected data to resolve them quickly.</p>
2599. <p>Historically, observability and security were separate disciplines, but over the past few years, those industries have been on a collision course. In my discussions with Patel, he has continually talked about how the two areas go hand in hand and Cisco now has the data to support the vision.</p>
2600. <h3><strong>Enhanced Digital Experiences</strong></h3>
2601. <p>Cisco and Splunk will help customers deliver superior digital experiences by aligning their integrated offerings. Specifically, the integration with Cisco&#8217;s ThousandEyes will enrich the digital experience for existing Splunk customers by providing better insights into network routes and user behavior.</p>
2602. <h2><strong>An Elite Partnership</strong></h2>
2603. <p>Cisco is building on Splunk’s reputation as a top provider of security solutions for companies worldwide. Cisco’s advanced intelligence tools, like Talos, will further enhance Splunk’s offerings, making it an even more attractive option for businesses looking to boost their security setup.</p>
2604. <p>For example, integrating Cisco’s cloud, breach, and user protection technologies with Splunk’s security information and event management (SIEM), security orchestration, automation, response (SOAR), and attack analytics solutions will be a potent combination.</p>
2605. <p>“We take a unique approach to providing unified security and observability solutions because both are necessary for response to almost any kind of issue—whether it’s a bad piece of code that gets deployed, a ransomware attack, or even a beneficial spike in traffic,&#8221; Casey said. &#8220;With Cisco, we can provide unprecedented visibility across the whole digital footprint.&#8221;</p>
2606. <h2><strong>Enhanced Security with AI</strong></h2>
2607. <p>The merging of Cisco and Splunk is not just about combining technologies; it brings <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/">AI</a> to the forefront of cybersecurity.</p>
2608. <p>Cisco is deeply invested in artificial intelligence, leveraging it across all internal functions beyond product development, and integrating AI capabilities, models, and tools into its portfolio. One example is the creation of Silicon One, a new type of chip for powering AI workloads across both hyperscalers and enterprise networks.</p>
2609. <p>With Splunk, Cisco adds security capabilities using data. Patel explained, “To be a world-class security company, you must be a world-class AI company. To do that, you must be a world-class data company, and Splunk will improve us on that front.”</p>
2610. <p>AI in security can play a key role in addressing the talent gap in security. Patel mentioned that millions of security jobs go unfilled annually in the U.S. Approximately 90 percent of companies have multiple open positions, underscoring the complexity and demand within the field.</p>
2611. <h2><strong>Generative AI and Cybersecurity</strong></h2>
2612. <p><a href="https://www.eweek.com/artificial-intelligence/what-is-generative-ai/" target="_blank" rel="noopener">Generative AI</a> shows promise in addressing three critical areas in security: improving efficacy, enhancing the user experience for both security and IT and reducing the total cost of ownership of security systems.</p>
2613. <p>For example, integrating <a href="https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/" target="_blank" rel="noopener">generative AI tools</a> like the Cisco AI Assistant into various products would simplify user engagement with technology. Users can express their security intents in natural language, which the AI Assistant interprets and then helps set up policies, manage network configurations, and troubleshoot issues.</p>
2614. <p>“Every single product that we have will be under the Cisco AI Assistant banner. It will be both embedded in the products as well as something that you can use to go to the system page and ask questions. Splunk will have their dataset also plugged into that over time, which is a very logical extension,” Patel said.</p>
2615. <p>While AI can be incredibly helpful, especially in times of crisis, human judgment is still essential. Therefore, a balanced approach is needed, where AI helps but doesn’t replace human decision-making. Both companies understand the importance of <a href="https://www.eweek.com/artificial-intelligence/generative-ai-ethics/">ethical AI</a> where enhancements are made responsibly while maintaining and building customer trust.</p>
2616. <h2><strong>Bottom Line: Cisco&#8217;s Splunk Acquisition Integrates AI</strong></h2>
2617. <p>For AI to be truly effective, it needs to be securely integrated into systems and supported by substantial volumes of data for training. Cisco is currently working on incorporating AI into its cybersecurity framework, with significant developments expected in the coming months.</p>
2618. <p>The Splunk acquisition marks an exciting phase for the networking giant. Although integrations are still early, they show great innovation potential. Cisco and Splunk are working toward providing security and observability solutions that adapt to the changing requirements of modern organizations and their users.</p>
2619. <p><em><strong>For a full portrait of the AI vendors serving a wide array of business needs, read our in-depth guide: <a href="https://www.eweek.com/artificial-intelligence/ai-companies/">150+ Top AI Companies 2024</a></strong></em></p>
2620. <p>The post <a href="https://www.eweek.com/artificial-intelligence/cisco-splunk-acquisition/">Cisco&#8217;s Splunk Acquisition: A Data-First AI Company Transformation</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
2621. ]]></content:encoded>
2625. </item>
2626. <item>
2627. <title>6 Best Large Language Models (LLMs) in 2024</title>
2628. <link>https://www.eweek.com/artificial-intelligence/best-large-language-models/</link>
2630. <dc:creator><![CDATA[Sam Rinko]]></dc:creator>
2631. <pubDate>Tue, 16 Apr 2024 16:23:32 +0000</pubDate>
2632. <category><![CDATA[Artificial Intelligence]]></category>
2633. <category><![CDATA[Latest News]]></category>
2634. <guid isPermaLink="false">https://www.eweek.com/?p=224428</guid>
2635.  
2636. <description><![CDATA[<p>Looking to take your business to a  new level through large language models (LLMs)? Check out our complete list of the best LLMs.</p>
2637. <p>The post <a href="https://www.eweek.com/artificial-intelligence/best-large-language-models/">6 Best Large Language Models (LLMs) in 2024</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
2638. ]]></description>
2639. <content:encoded><![CDATA[<p>Large language models (LLMs) are advanced software architectures that use AI technologies like deep learning and neural networks to perform complex tasks like text generation, sentiment analysis, and data analysis.</p>
2640. <p>Today&#8217;s best general-use large language models can streamline a large variety of business tasks, from content creation and customer service to workflow processing.</p>
2641. <p>Able to understand and generate human-like text, LLMs aid in tasks like writing social media posts and ad copy, crafting personalized responses to customer inquiries, summarizing data for decision-making, and even helping your team come up with new ideas that drive innovation. LLMs can also be integrated into your current software platforms to improve their efficiency and effectiveness and open up new functionality and automations.</p>
2642. <p>Here are our picks for the best large language models for your business:</p>
2643. <ul>
2644. <li><strong><a href="https://link.technologyadvice.com/r/openai-gpt-4" target="_blank" rel="noopener nofollow">GPT-4</a>:</strong> Best for creating marketing content.</li>
2645. <li><strong><a href="https://link.technologyadvice.com/r/falcon-llm-main" target="_blank" rel="noopener nofollow">Falcon</a>:</strong> Best for a human-like, conversational chatbot.</li>
2646. <li><strong><a href="https://link.technologyadvice.com/r/meta-ai-llama-2" target="_blank" rel="noopener nofollow">Llama 2</a>:</strong> Best for a free, resource-light, customizable LLM.</li>
2647. <li><strong><a href="https://link.technologyadvice.com/r/cohere-main" target="_blank" rel="noopener nofollow">Cohere</a>:</strong> Best enterprise LLM for building a company-wide search engine.</li>
2648. <li><strong><a href="https://link.technologyadvice.com/r/google-gemini" target="_blank" rel="noopener nofollow">Gemini</a>:</strong> Best for an AI assistant in Google Workspace.</li>
2649. <li><strong><a href="https://link.technologyadvice.com/r/anthropic-claude" target="_blank" rel="noopener nofollow">Claude 3</a>:</strong> Best for a large context window.</li>
2650. </ul>
2651. <div id="ez-toc-container" class="ez-toc-v2_0_62 ez-toc-wrap-left counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction">
2652. <p class="ez-toc-title">TABLE OF CONTENTS</p>
2653. <label for="ez-toc-cssicon-toggle-item-662b2c09ddd76" class="ez-toc-cssicon-toggle-label"><span class="ez-toc-cssicon"><span class="eztoc-hide" style="display:none;">Toggle</span><span class="ez-toc-icon-toggle-span"><svg style="fill: #ffffff;color:#ffffff" xmlns="http://www.w3.org/2000/svg" class="list-377408" width="20px" height="20px" viewBox="0 0 24 24" fill="none"><path d="M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z" fill="currentColor"></path></svg><svg style="fill: #ffffff;color:#ffffff" class="arrow-unsorted-368013" xmlns="http://www.w3.org/2000/svg" width="10px" height="10px" viewBox="0 0 24 24" version="1.2" baseProfile="tiny"><path d="M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z"/></svg></span></span></label><input type="checkbox"  id="ez-toc-cssicon-toggle-item-662b2c09ddd76"  aria-label="Toggle" /><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-1" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#top-large-language-model-software-comparison" title="Top Large Language Model Software: Comparison">Top Large Language Model Software: Comparison</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-2" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#gpt-4-best-for-creating-marketing-content" title="GPT-4: Best for Creating Marketing Content">GPT-4: Best for Creating Marketing Content</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-3" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#falcon-best-for-a-conversational-human-like-chatbot" title="Falcon: Best for a Conversational, Human-Like Chatbot">Falcon: Best for a Conversational, Human-Like Chatbot</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-4" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#llama-2-best-for-a-free-resource-light-customizable-llm" title="Llama 2: Best for a Free, Resource-Light, Customizable LLM">Llama 2: Best for a Free, Resource-Light, Customizable LLM</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-5" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#cohere-best-enterprise-solution-for-building-a-company-wide-search-engine" title="Cohere: Best Enterprise Solution for Building a Company-Wide Search Engine">Cohere: Best Enterprise Solution for Building a Company-Wide Search Engine</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-6" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#gemini-best-for-an-ai-assistant-in-google-workspace" title="Gemini: Best for an AI Assistant in Google Workspace">Gemini: Best for an AI Assistant in Google Workspace</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-7" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#claude-3-best-for-a-large-context-window" title="Claude 3: Best for a Large Context Window">Claude 3: Best for a Large Context Window</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-8" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#key-features-of-large-language-model-software" title="Key Features of Large Language Model Software">Key Features of Large Language Model Software</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-9" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#how-to-choose-the-best-large-language-model-for-your-business" title="How to Choose the Best Large Language Model for Your Business">How to Choose the Best Large Language Model for Your Business</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-10" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#how-we-evaluated-large-language-models" title="How We Evaluated Large Language Models">How We Evaluated Large Language Models</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-11" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#frequently-asked-questions-faqs-large-language-models" title="Frequently Asked Questions (FAQs): Large Language Models">Frequently Asked Questions (FAQs): Large Language Models</a></li><li class='ez-toc-page-1'><a class="ez-toc-link ez-toc-heading-12" href="https://www.eweek.com/artificial-intelligence/best-large-language-models/#bottom-line-the-power-of-large-language-models" title="Bottom Line: The Power of Large Language Models">Bottom Line: The Power of Large Language Models</a></li></ul></nav></div>
2654.  
2655. <h2><strong>Top Large Language Model Software: Comparison</strong></h2>
2656. <p>When evaluating <a href="https://www.eweek.com/artificial-intelligence/large-language-model/">large language models</a> for your business, it’s important to learn about each tool’s developer, parameters, accessibility, and starting price.</p>
2657. <p>A note on parameters: Though greater parameter size does typically signal higher accuracy of an LLM, remember that you can fine-tune most of these AI tools on your own company-, task-, and industry-specific data. Also, some <a href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/">AI companies</a> offer several LLM models, differing in size, with the lower-parameter versions on the lower end of the pricing scale.</p>
2658. <table style="width: 100%;">
2659. <tbody>
2660. <tr>
2661. <th style="width: 20%;"></th>
2662. <th style="width: 20%; text-align: center;">Developer</th>
2663. <th style="width: 20%; text-align: center;">Parameters (of Largest Model)</th>
2664. <th style="width: 20%; text-align: center;">Accessibility</th>
2665. <th style="width: 20%; text-align: center;">Starting Pricing</th>
2666. </tr>
2667. <tr>
2668. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/openai-gpt-4" target="_blank" rel="noopener nofollow"><strong>GPT-4</strong></a></td>
2669. <td style="text-align: center;">Open AI</td>
2670. <td style="text-align: center;">1.7 trillion</td>
2671. <td><a href="https://chat.openai.com/" target="_blank" rel="noopener">Chat GPT</a> (uses 3.5, must upgrade for 4) and the Open AI API</td>
2672. <td style="text-align: center;">$20 per month for access to GPT-4</td>
2673. </tr>
2674. <tr>
2675. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/falcon-llm-main" target="_blank" rel="noopener nofollow"><strong>Falcon</strong></a></td>
2676. <td style="text-align: center;">Technology Innovation Institute (TII)</td>
2677. <td style="text-align: center;">180 billion</td>
2678. <td>Open source (available on Amazon SageMaker and Hugging Face)</td>
2679. <td style="text-align: center;">Free</td>
2680. </tr>
2681. <tr>
2682. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/meta-ai-llama-2" target="_blank" rel="noopener nofollow"><strong>Llama 2</strong></a></td>
2683. <td style="text-align: center;">Meta</td>
2684. <td style="text-align: center;">70 billion</td>
2685. <td>Open source (download to desktop)</td>
2686. <td style="text-align: center;">Free</td>
2687. </tr>
2688. <tr>
2689. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/cohere-main" target="_blank" rel="noopener nofollow"><strong>Cohere</strong></a></td>
2690. <td style="text-align: center;">Cohere</td>
2691. <td style="text-align: center;">52 billion</td>
2692. <td>Open source (Cohere API is the easiest access option)</td>
2693. <td style="text-align: center;">Free</td>
2694. </tr>
2695. <tr>
2696. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/google-gemini" target="_blank" rel="noopener nofollow"><strong>Gemini</strong></a></td>
2697. <td style="text-align: center;">Google</td>
2698. <td style="text-align: center;">Unrevealed</td>
2699. <td><a href="https://gemini.google.com/" target="_blank" rel="noopener">Google Gemini App</a> or Gemini API</td>
2700. <td style="text-align: center;">Free</td>
2701. </tr>
2702. <tr>
2703. <td style="text-align: center;"><a href="https://link.technologyadvice.com/r/anthropic-claude" target="_blank" rel="noopener nofollow"><strong>Claude 3</strong></a></td>
2704. <td style="text-align: center;">Anthropic</td>
2705. <td style="text-align: center;">About 2 trillion</td>
2706. <td><a href="https://claude.ai/" target="_blank" rel="noopener">Claude AI app</a> and Claude API</td>
2707. <td style="text-align: center;">$0.25 per million input tokens and $1.25 per million output tokens</td>
2708. </tr>
2709. </tbody>
2710. </table>
2711. <p>&nbsp;</p>
2712. <p><img decoding="async" class="size-full wp-image-224247 alignright" src="https://www.eweek.com/wp-content/uploads/2024/03/openai_chatgpt-icon.png" alt="ChatGPT icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/03/openai_chatgpt-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/03/openai_chatgpt-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
2713. <h2><strong>GPT-4: </strong><strong>Best for Creating Marketing Content</strong></h2>
2714. <p><a href="https://www.eweek.com/artificial-intelligence/gpt-4-vs-chatgpt/">OpenAI’s GPT-4</a>, accessed typically through the <a href="https://www.eweek.com/artificial-intelligence/free-ai-tools/">free AI tool</a> ChatGPT, is an advanced <a href="https://www.eweek.com/big-data-and-analytics/natural-language-processing/">natural language processing</a> model. Compared to other LLMs, its combination of large-scale pretraining, contextual understanding, fine-tuning capabilities, and advanced architecture makes GPT particularly adept at writing detailed, sophisticated responses to your prompts, making it a great assistant to any marketer.</p>
2715. <p>By training GPT on your brand&#8217;s tone and style, you can have it generate text that fits your specific style and can be easily assimilated into email campaigns, ad copy, social media posts, presentations, and other external and internal content for your business. And with its new image reader, you can even upload an ad image and ask it to write a clever caption.</p>
2716. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2717. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/openai-gpt-4" target="_blank" rel="noopener nofollow">Visit GPT-4</a></div>
2718. </div>
2719. <h3><strong>Pros &amp; Cons</strong></h3>
2720. <table style="width: 100%;">
2721. <tbody>
2722. <tr>
2723. <th style="width: 50%; text-align: center;">Pros</th>
2724. <th style="width: 50%; text-align: center;">Cons</th>
2725. </tr>
2726. <tr>
2727. <td>Free basic version with ChatGPT</td>
2728. <td>Occasional hallucinations</td>
2729. </tr>
2730. <tr>
2731. <td>Can understand and create visual information</td>
2732. <td>Output is politically biased</td>
2733. </tr>
2734. <tr>
2735. <td>Coherent, detailed text outputs</td>
2736. <td>Must buy subscription for advanced features</td>
2737. </tr>
2738. </tbody>
2739. </table>
2740. <h3><strong>Pricing</strong></h3>
2741. <ul>
2742. <li><strong>ChatGPT-3.5:</strong> Free version.</li>
2743. <li><strong>ChatGPT-4 Plus:</strong> $20 per month (create custom chatbots, access latest upgrades, image generation, and generally more intelligent responses).</li>
2744. </ul>
2745. <h3><strong>Features</strong></h3>
2746. <ul>
2747. <li>Generate articulate, creative text</li>
2748. <li>Edit and optimize copy</li>
2749. <li>Summarize text and pictures</li>
2750. <li>Conduct market analysis</li>
2751. <li>Do keyword research</li>
2752. <li>Write code</li>
2753. <li>175 billion parameters</li>
2754. </ul>
2755. <p><em><strong>To learn more about this leading LLM, read the <a href="https://www.eweek.com/artificial-intelligence/gpt-4-vs-chatgpt/">full review of ChatGPT 4</a>.</strong></em></p>
2756. <p><img decoding="async" class="size-full wp-image-224431 alignright" src="https://www.eweek.com/wp-content/uploads/2024/04/technology_innovation_institute-icon.png" alt="Technology Innovation Institute icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2024/04/technology_innovation_institute-icon.png 200w, https://www.eweek.com/wp-content/uploads/2024/04/technology_innovation_institute-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
2757. <h2><strong>Falcon: </strong><strong>Best for a Conversational, Human-Like Chatbot</strong></h2>
2758. <p>Accessed mainly through Hugging Face, Technology Innovation Institute’s Falcon is an open-source LLM that is tailored for conversational interactions with natural back-and-forth exchanges.</p>
2759. <p>Trained on dialogues and social media discussions, Falcon comprehends conversational flow and context, allowing it to deliver highly relevant responses that take into account what you’ve said in the past. In essence, the longer you interact with Falcon, the better it &#8220;knows you,&#8221; and the more use you can gain from it.</p>
2760. <p>This <a href="https://www.eweek.com/artificial-intelligence/what-is-artificial-intelligence/">artificial intelligence</a> learning capability makes Falcon ideal for <a href="https://www.eweek.com/artificial-intelligence/best-ai-chatbots/">AI chatbots</a> and virtual <a href="https://www.eweek.com/artificial-intelligence/best-ai-meeting-assistants/">AI assistants</a> that provide a more engaging, human-like experience than ChatGPT.</p>
2761. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2762. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/falcon-llm-main" target="_blank" rel="noopener nofollow">Visit Falcon</a></div>
2763. </div>
2764. <h3><strong>Pros &amp; Cons</strong></h3>
2765. <table style="width: 100%;">
2766. <tbody>
2767. <tr>
2768. <th style="width: 50%; text-align: center;">Pros</th>
2769. <th style="width: 50%; text-align: center;">Cons</th>
2770. </tr>
2771. <tr>
2772. <td>Open to commercial and research use</td>
2773. <td>Fewer parameters than GPT</td>
2774. </tr>
2775. <tr>
2776. <td>Highly conversational user experience</td>
2777. <td>Supports only a handful of languages</td>
2778. </tr>
2779. <tr>
2780. <td>Human-like text generation</td>
2781. <td>Falcon 180B is resource-intensive to run</td>
2782. </tr>
2783. </tbody>
2784. </table>
2785. <h3><strong>Pricing</strong></h3>
2786. <ul>
2787. <li>Falcon is a <a href="https://www.eweek.com/artificial-intelligence/free-ai-tools/">free AI tool</a> and can be integrated into applications and end-user products.</li>
2788. </ul>
2789. <h3><strong>Features</strong></h3>
2790. <ul>
2791. <li>Create human-like textual responses</li>
2792. <li>Track context of the ongoing conversation</li>
2793. <li>Fine-tunable base model</li>
2794. <li>Answer complex questions</li>
2795. <li>Translate text</li>
2796. <li>Summarize information</li>
2797. <li>Integrate it at no cost into your business applications</li>
2798. </ul>
2799. <p><em><b style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;">For more information about generative AI providers and their LLMs, read our in-depth guide: </b><a style="font-family: Verdana, BlinkMacSystemFont, -apple-system, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif;" href="https://www.eweek.com/artificial-intelligence/generative-ai-companies/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=generative-ai-companies-top-12-leaders"><b>Generative AI Companies: Top 20 Leaders</b></a></em></p>
2800. <p><img decoding="async" class="size-full wp-image-223237 alignright" src="https://www.eweek.com/wp-content/uploads/2023/05/meta-icon.png" alt="Meta icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2023/05/meta-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/meta-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
2801. <h2><strong>Llama 2: </strong><strong>Best for a Free, Resource-Light, Customizable LLM</strong></h2>
2802. <p>Meta AI’s Llama 2 is an open-source large language model that can assist with a variety of business tasks, from generating content to training AI chatbots. Its three models are trained on a relatively small number of parameters, making them fast in terms of prompt processing and response time.</p>
2803. <p>Designed to be fine-tuned using your company- and industry-specific data, users download it for free to their desktop and customize it to their needs, without using many computational resources. This makes it a great option for smaller businesses that want a free and adaptable LLM that’s easy to deploy.</p>
2804. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2805. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/meta-ai-llama-2" target="_blank" rel="noopener nofollow">Visit Llama 2</a></div>
2806. </div>
2807. <h3><strong>Pros &amp; Cons</strong></h3>
2808. <table style="width: 100%;">
2809. <tbody>
2810. <tr>
2811. <th style="width: 50%; text-align: center;">Pros</th>
2812. <th style="width: 50%; text-align: center;">Cons</th>
2813. </tr>
2814. <tr>
2815. <td>Fast and resource-efficient</td>
2816. <td>Before fine-tuning, no coding or math support</td>
2817. </tr>
2818. <tr>
2819. <td>Free and open-source</td>
2820. <td>Output may not be as creative as GPT</td>
2821. </tr>
2822. <tr>
2823. <td>High scores in reasoning and coding tests</td>
2824. <td>Smaller parameter size than comparable tools</td>
2825. </tr>
2826. </tbody>
2827. </table>
2828. <h3><strong>Pricing</strong></h3>
2829. <ul>
2830. <li>Open source and free for research and commercial use.</li>
2831. </ul>
2832. <h3><strong>Features</strong></h3>
2833. <ul>
2834. <li>Advanced reading comprehension</li>
2835. <li>Text generation</li>
2836. <li>Company-wide search engines</li>
2837. <li>Text auto-completion</li>
2838. <li>Data analysis</li>
2839. </ul>
2840. <p><img decoding="async" class="size-full wp-image-222120 alignright" src="https://www.eweek.com/wp-content/uploads/2023/04/cohere-icon.png" alt="Cohere icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2023/04/cohere-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/04/cohere-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
2841. <h2><strong>Cohere: </strong><strong>Best Enterprise Solution for Building a Company-Wide Search Engine</strong></h2>
2842. <p>Cohere is an open weights LLM and <a href="https://www.eweek.com/artificial-intelligence/generative-ai-enterprise-use-cases/">enterprise AI platform</a> that is popular among large companies and multinational organizations that want to create a contextual search engine for their private data.</p>
2843. <p>Cohere’s advanced semantic analysis allows companies to securely feed it company information—sales data, call transcripts, emails, etc.—and then, with a quick search, find answers to questions like “What were Q4 margins in the Western US?”</p>
2844. <p>This streamlines intelligence gathering and <a href="https://www.eweek.com/big-data-and-analytics/data-analytics/">data analysis</a> activities, allowing your team to make total use of the enterprise data you capture. You can access Cohere through their API or via Amazon SageMaker. Cohere&#8217;s models are available for companies to deploy publicly on AWS, GCP, OCI, Azure and Nvidia, as well via VPC or a company&#8217;s on-premise environment.</p>
2845. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2846. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/cohere-main" target="_blank" rel="noopener nofollow">Visit Cohere</a></div>
2847. </div>
2848. <h3><strong>Pros &amp; Cons</strong></h3>
2849. <table style="width: 100%;">
2850. <tbody>
2851. <tr>
2852. <th style="width: 50%; text-align: center;">Pros</th>
2853. <th style="width: 50%; text-align: center;">Cons</th>
2854. </tr>
2855. <tr>
2856. <td>High-quality semantic analysis</td>
2857. <td>More expensive than most LLMs</td>
2858. </tr>
2859. <tr>
2860. <td>Data and searches are kept private</td>
2861. <td>Free version is mostly a trial/testing ground</td>
2862. </tr>
2863. <tr>
2864. <td>Highly customizable</td>
2865. <td>Ill-suited for smaller businesses and startups</td>
2866. </tr>
2867. </tbody>
2868. </table>
2869. <h3><strong>Pricing</strong></h3>
2870. <ul>
2871. <li>There is a free version, and then the Production tier, which offers three products (command, rerank, and embed) and charges per 1M tokens of data output and input.</li>
2872. <li>Must call Sales for a quote on their highly customizable Enterprise tier.</li>
2873. </ul>
2874. <h3><strong>Features</strong></h3>
2875. <ul>
2876. <li>Designed for enterprise applications</li>
2877. <li>Semantic analysis and contextual search</li>
2878. <li>Content generation, summarization, and classification</li>
2879. <li>Supports over 100 languages</li>
2880. <li>Advanced data retrieval (re-ranking)</li>
2881. <li>Deployment on any cloud or on-premise</li>
2882. </ul>
2883. <p><img decoding="async" class="size-full wp-image-224008 alignright" src="https://www.eweek.com/wp-content/uploads/2023/05/google_gemini-icon.png" alt="Google Gemini icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2023/05/google_gemini-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/google_gemini-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
2884. <h2><strong>Gemini: </strong><strong>Best for an AI Assistant in Google Workspace</strong></h2>
2885. <p><a href="https://www.eweek.com/artificial-intelligence/gemini-vs-chatgpt/">Gemini</a> is a large language model, content generator, and <a href="https://www.eweek.com/artificial-intelligence/best-ai-chatbots/">AI chatbot</a> within Google’s Gemini AI suite. It’s multimodal, so it can understand not only text, but also video, code, and image data.</p>
2886. <p>Its big differentiator is “Gemini for Google Workspace,” an AI assistant that’s connected with Google Docs, Sheets, Gmail, and Slides, thus opening up a whole set of use cases for Google Suite users. Starting at $20 per month, you can use Gemini to easily find and draft documents, analyze spreadsheet data, write personalized emails, build presentations and decks, and more.</p>
2887. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2888. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/google-gemini" target="_blank" rel="noopener nofollow">Visit Gemini</a></div>
2889. </div>
2890. <h3><strong>Pros &amp; Cons</strong></h3>
2891. <table style="width: 100%;">
2892. <tbody>
2893. <tr>
2894. <th style="width: 50%; text-align: center;">Pros</th>
2895. <th style="width: 50%; text-align: center;">Cons</th>
2896. </tr>
2897. <tr>
2898. <td>Highly affordable option for professionals</td>
2899. <td>Gemini Pro (free version) lacks accuracy</td>
2900. </tr>
2901. <tr>
2902. <td>Connects seamlessly with Google apps</td>
2903. <td>Relatively new compared to other tools</td>
2904. </tr>
2905. <tr>
2906. <td>Impressive reasoning capabilities</td>
2907. <td>Slightly glitchy photo interactions</td>
2908. </tr>
2909. </tbody>
2910. </table>
2911. <h3><strong>Pricing</strong></h3>
2912. <ul>
2913. <li>Offers free version of Gemini AI with basic functionality.</li>
2914. <li>Gemini Advanced, the Premium tier, costs $19.99 per month (gain access to Gemini 1.0 Ultra, advanced Google Suite features, and functionality to do complex tasks).</li>
2915. </ul>
2916. <h3><strong>Features</strong></h3>
2917. <ul>
2918. <li>Conversational AI chatbot</li>
2919. <li>Create presentations easily</li>
2920. <li>Generate content</li>
2921. <li>Analyze reams of data</li>
2922. <li>Multimodality</li>
2923. <li>Google Workspace AI assistant</li>
2924. </ul>
2925. <p><img decoding="async" class="size-full wp-image-222433 alignright" src="https://www.eweek.com/wp-content/uploads/2023/05/anthropic-icon.png" alt="Anthropic icon." width="200" height="200" srcset="https://www.eweek.com/wp-content/uploads/2023/05/anthropic-icon.png 200w, https://www.eweek.com/wp-content/uploads/2023/05/anthropic-icon-150x150.png 150w" sizes="(max-width: 200px) 100vw, 200px" /></p>
2926. <h2><strong>Claude 3: </strong><strong>Best for a Large Context Window</strong></h2>
2927. <p>Available through API and an app, <a href="https://www.eweek.com/artificial-intelligence/gpt4-vs-claude/">Anthropic’s Claude 3</a> is a large language model that can help businesses with advanced analytics, document processing, and highly articulate text generation that is well-written and friendly in tone.</p>
2928. <p>It’s been compared to <a href="https://www.eweek.com/artificial-intelligence/chatgpt-enterprise/">GPT</a> in terms of functionality, but it stands out in one major way: recall. Its context window (about 200,000 tokens) is larger than the average LLM, making it great for coders who want it to remember their previous exchanges, or an entire coding base, when it provides its new responses. This context window also has applications for businesses needing to summarize large documents, such as legal firms performing legal review.</p>
2929. <div style="display: flex; justify-content: center; align-items: center; padding: 20px;">
2930. <div class="wp-block-button has-custom-width wp-block-button__width-50 has-custom-font-size is-style-outline has-large-font-size td_btn_large"><a class="wp-block-button__link has-white-color has-text-color has-background wp-element-button" style="border-radius: 38px; background-color: #478ac6;" href="https://link.technologyadvice.com/r/anthropic-claude" target="_blank" rel="noopener nofollow">Visit Claude 3</a></div>
2931. </div>
2932. <h3><strong>Pros &amp; Cons</strong></h3>
2933. <table style="width: 100%;">
2934. <tbody>
2935. <tr>
2936. <th style="width: 50%; text-align: center;">Pros</th>
2937. <th style="width: 50%; text-align: center;">Cons</th>
2938. </tr>
2939. <tr>
2940. <td>Very conversational, friendly chatbot experience</td>
2941. <td>Low request quota—about <a href="https://support.anthropic.com/en/articles/8325612-does-claude-pro-have-any-usage-limits#:~:text=If%20your%20conversations%20are%20relatively,will%20reset%20every%205%20hours." target="_blank" rel="noopener">45 messages per five hours</a></td>
2942. </tr>
2943. <tr>
2944. <td>200,000-token context window</td>
2945. <td>Cannot produce new images</td>
2946. </tr>
2947. <tr>
2948. <td>Lightning-fast responses</td>
2949. <td>Can struggle with numerical and logic questions</td>
2950. </tr>
2951. </tbody>
2952. </table>
2953. <h3><strong>Pricing</strong></h3>
2954. <ul>
2955. <li>Claude 3 comes in three different sizes: Haiku for simple tasks, Sonnet for difficult tasks, and Opus for highly complex tasks.</li>
2956. <li>Pricing starts at Haiku: Input: $0.25 / MTok, Output: $1.25 / MTok.</li>
2957. </ul>
2958. <h3><strong>Features</strong></h3>
2959. <ul>
2960. <li>Text summarization</li>
2961. <li>Content generation</li>
2962. <li>Advanced reasoning</li>
2963. <li>Data analysis</li>
2964. <li>File uploading and tracking</li>
2965. <li>200,000-token context window</li>
2966. <li>Friendly, accurate chatbot</li>
2967. </ul>
2968. <h2><strong>Key Features of Large Language Model Software</strong></h2>
2969. <p>Large language model software typically includes features that help businesses process large amounts of information, and answer complex questions about their market or company data. LLMs also generate intelligent, contextually relevant outputs in various formats, from coding and images to human-like textual responses. Since LLMs are generally meant to be “built-on-top-of,” their APIs and ability to integrate with other applications are also massively important to users.</p>
2970. <h3><strong>Conversational AI Chatbot</strong></h3>
2971. <p>Most LLMs offer an <a href="https://www.eweek.com/artificial-intelligence/best-ai-chatbots/">AI chatbot</a>, which understands and generates human-like responses based on user input and training data. These helpful chatbots continuously improve their performance—aka their ability to follow your directions—by analyzing interactions and your satisfaction with them. Professionals generally use chatbots to quickly write content, conduct research, generate code, and analyze data.</p>
2972. <h3><strong>Text Summarization</strong></h3>
2973. <p>Text summarization is a powerful feature of LLMs that can save your business a lot of time when it comes to reading and interpreting lengthy documents, such as legal contracts or financial ledgers.</p>
2974. <p>AI-based text summarization works by condensing these swathes of text into concise representations while retaining the key information. Acting like an analyst, this feature can aid in decision-making by providing you with the most relevant details of long reports and studies. It can also help you create content based on the document, such as an abstract for a dense lab report.</p>
2975. <h3><strong>Content Generation</strong></h3>
2976. <p>Marketers and small business owners will probably find LLMs’ ability to generate content to be its most time-saving feature. Using specific prompts like “Write a witty social media caption to this image,” users can quickly pump out sophisticated and human-like content.</p>
2977. <p>End results include email copy, social media posts, sales pages, product descriptions, and more. Of course, when writing with these tools, you should take care to add your own personality and insight into the copy, acting as its editor. Otherwise, the content might read as robotic and contain errors.</p>
2978. <h3><strong>Fine-tunability</strong></h3>
2979. <p>Crucial for the applicability of LLMs, fine-tunability is the ability of LLMs to be customized to specific tasks or domain-specific knowledge with relatively small amounts of task-specific data.</p>
2980. <p>For example, pretend a SaaS brand is using a customer chatbot powered by an LLM, and they notice the chatbot is struggling to answer questions about upgrade options for a specific product tier. The company then fine-tunes the LLM using a dataset containing transcripts of buyer interactions related to these specific upgrades, thus improving its performance.</p>
2981. <h3><strong>Multimodality</strong></h3>
2982. <p>In business, you often need to create more than just text. Multimodality refers to an LLM’s ability to understand and generate responses in other modalities such as code, images, audio, or video.</p>
2983. <p>This opens up opportunities for businesses to create applications that leverage multiple modalities, such as augmented reality (AR) experiences or interactive multimedia content. It also helps businesses engage with customers—imagine a chatbot that can analyze a photo of a broken product and then recommend solutions and steps to fix it in image and text.</p>
2984. <h3><strong>APIs &amp; Third-party Integrations</strong></h3>
2985. <p>Third-party integrations and application programming interfaces are important features of LLMs because they enable seamless integration of language model capabilities into existing systems and applications, allowing businesses to leverage the power of natural language processing without having to develop their own models from scratch. To illustrate, businesses commonly integrate their LLM with their customer service platform to build smarter AI chatbots.</p>
2986. <h2><strong>How to Choose the Best Large Language Model for Your Business</strong></h2>
2987. <p>The best large language models typically offer streamlined content generation, text summarization, data analysis, and third-party integrations, while also being highly customizable and accurate. That said, the ideal large language model software for your business is one that aligns with your particular needs, budget, and resources. Before evaluating LLMs, you should also identify the use cases that matter most to you, so you can then find models designed for those applications. Do you value affordability the most? Do you need a robust feature list and have the budget to deploy it? Given the complexity of LLMs – including how rapidly the sector changes – extensive research is always required.</p>
2988. <h2><strong>How We Evaluated Large Language Models</strong></h2>
2989. <p>To evaluate these large language model software, we assessed their pricing, parameter size, context window, customization options, and overall deployability. Each percentage represents the importance of the factor to the typical business user.</p>
2990. <h3><strong>Intelligent Outputs &#8211; 30%</strong></h3>
2991. <p>To assess the intelligence of the large language models, we reviewed research comparing their scores on various intelligence tests in reasoning, creativity, analysis, math, and ability to follow instructions.</p>
2992. <h3><strong>Cost &#8211; 20%</strong></h3>
2993. <p>We scored each tool on pricing by evaluating their free versions and by finding the cost of their paid versions, in terms of computational resources and price.</p>
2994. <h3><strong>Accuracy &#8211; 20%</strong></h3>
2995. <p>To assess the accuracy of a tool’s output and question answering, we looked into the LLM’s parameter size, the quality of the training data, frequency of retuning, and various tests on accuracy.</p>
2996. <h3><strong>Customization &#8211; 15%</strong></h3>
2997. <p>To investigate the customization options of each LLM software, we looked at how well each model can be fine-tuned for specific tasks and knowledge bases and integrated into relevant business tools.</p>
2998. <h3><strong>Context Window &#8211; 15%</strong></h3>
2999. <p>The context window size determines the scope of information the model can consider when making predictions or generating text, making it a proxy for how well an LLM can understand linguistic patterns, produce contextually coherent outputs, and simulate real-world dialogue.</p>
3000. <h2><strong>Frequently Asked Questions (FAQs): Large Language Models</strong></h2>
3001. <h3><strong>What are the applications of large language models?</strong></h3>
3002. <p>The applications of large language models range from customer service chatbots and market research to document summarization and content creation in various formats, including text, images, and code.</p>
3003. <h3><strong>What are the advantages of using large language models?</strong></h3>
3004. <p>The advantages of large language models in the workplace include greater operational efficiency, smarter AI-based applications, <a href="https://www.eweek.com/artificial-intelligence/intelligent-automation-overview/">intelligent automation</a>, and enhanced scalability of content generation and data analysis.</p>
3005. <h3><strong>Are there any limitations or challenges with large language models?</strong></h3>
3006. <p>The major limitations and challenges of LLMs in a business setting include potential biases in generated content, difficulty in evaluating output accuracy, resource intensiveness in training and deployment. Additionally, the need for robust security measures to prevent misuse is a major issue for companies.</p>
3007. <h2><strong>Bottom Line: The Power of Large Language Models</strong></h2>
3008. <p>With the right large language model software, you can streamline many critical tasks for your business and free up more time to focus on strategic thinking and creative work. LLMs are the very foundation of success with artificial intelligence, and so selecting the best LLM for your purposes goes a long way toward gaining value from your AI use.</p>
3009. <p>Despite GPT-4 winning in terms of public profile, the choices are numerous. It’s important to pick the tool that automates your most time-consuming tasks, integrates with your current tech stack, and helps your business achieve its goals, whether you want to increase marketing output or analyze data faster.</p>
3010. <p><em><strong>For a full portrait of the AI vendors and the wide array of LLMs they use, read our in-depth guide: <a href="https://www.eweek.com/artificial-intelligence/ai-companies/">150+ Top AI Companies 2024</a></strong></em></p>
3011. <p>The post <a href="https://www.eweek.com/artificial-intelligence/best-large-language-models/">6 Best Large Language Models (LLMs) in 2024</a> appeared first on <a href="https://www.eweek.com">eWEEK</a>.</p>
3012. ]]></content:encoded>
3016. </item>
3017. </channel>
3018. </rss>
3019.