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<title>CapCut Mod APK v15.01.14 [Premium Unlocked]</title>
<link>https://starcaptions.com/capcut-mod-apk-v15-01-14-premium-unlocked/</link>
<comments>https://starcaptions.com/capcut-mod-apk-v15-01-14-premium-unlocked/#respond</comments>
<dc:creator><![CDATA[imran khan]]></dc:creator>
<pubDate>Sat, 26 Apr 2025 11:03:36 +0000</pubDate>
<category><![CDATA[Blog]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=728</guid>
<description><![CDATA[In the era of content creation, everyone seeks perfection. In a short span of time, many want to edit their video content with colorful insights. However, the majority of these content creators are unaware of video editing skills. They don’t need to worry about this because I am here with an app called CapCut Mod ... <a title="CapCut Mod APK v15.01.14 [Premium Unlocked]" class="read-more" href="https://starcaptions.com/capcut-mod-apk-v15-01-14-premium-unlocked/" aria-label="Read more about CapCut Mod APK v15.01.14 [Premium Unlocked]">Read more</a>
The post <a href="https://starcaptions.com/capcut-mod-apk-v15-01-14-premium-unlocked/">CapCut Mod APK v15.01.14 [Premium Unlocked]</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></description>
<content:encoded><![CDATA[In the era of content creation, everyone seeks perfection. In a short span of time, many want to edit their video content with colorful insights. However, the majority of these content creators are unaware of video editing skills. They don’t need to worry about this because I am here with an app called CapCut Mod APK, which requires no advanced knowledge of video editing, just below-average skills.
<div class="kb-row-layout-wrap kb-row-layout-id173_c6b302-49 alignnone wp-block-kadence-rowlayout"><a href="https://fineron.com/online-earning-from-tiktok-2025/">Download CapCut Mod APK</a></div>
<div></div>
<div>
After installing CapCut Mod APK latets version use it for few minutes so that you can give feedback truly.
Download CapCut Mod APK latest version and install it in your android phone without any delay if you want to glorify your videos by using filters and templates. Below is the complete guide about its usage and its features. Do read the article for guidance. Further you can also try CapCut Pro APK.
This is a third-party application with premium features that are not available in the free version of CapCut found on the Play Store. With this application, you can edit your photos and videos and use templates of your choice to make your video content more eye-catching and presentable. Just as age brings wisdom, after trying CapCut Mod APK latest version for 4–5 times, you will become an expert in editing. No worries if you are a newbie or someone with prior knowledge!
<div class="wp-block-kadence-image kb-image173_65bf28-ea">
People like to use CapCut Mod APK for Android because it is an easy-to-use and secure application. It is also beneficial for Android users, allowing them to share edited videos immediately on social platforms like TikTok, Facebook, WhatsApp, and others. Further. this video editing app is equally useful for iOS & Desktop devices.
<div class="wp-block-kadence-column kadence-column173_fe67f9-d0 aos-init aos-animate" data-aos="flip-down">
<div class="kt-inside-inner-col">
 You must fulfill these requirements before starting the process of installation of this application.
<ul class="kt-svg-icon-list">
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_1d6362-a8">Operating System Android 5.0 version or above.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_15db92-42">Minimum 300MB of Free Storage of the device.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_6bc183-54">Stable and Speedy internet connection.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_5b3c36-0f">For getting a better experience, your Mobile should have 4GB RAM—or more than that.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_366c34-af">The app prompts to get installation permission to install this app and also asks for permission to gallery for importing and exporting video. You just have to meet these requirements. If your device is not compatible then must try CapCut old version.</li>
</ul>
<div class="wp-block-kadence-column kadence-column173_47eb91-e2 aos-init aos-animate" data-aos="flip-down">
<div class="kt-inside-inner-col">
<h2 id="how-to-download-capcut-mod-apk" class="kt-adv-heading173_78a454-30 wp-block-kadence-advancedheading has-theme-palette-9-color has-text-color" data-kb-block="kb-adv-heading173_78a454-30"><a href="https://fineron.com/online-earning-from-tiktok-2025/">How to download CapCut Mod Apk?</a></h2>
After completing the above requirements, now let’s move to the process of CapCut APK download. Here is some step-by-step guidance to get this app which I am providing for your ease. It is not rocket science. Just read these processes carefully and follow them. Don’t wait, let’s start:
<div class="wp-block-kadence-column kadence-column173_03e907-7c aos-init aos-animate" data-aos="swipe-down">
<div class="kt-inside-inner-col">
<div class="wp-block-kadence-iconlist kt-svg-icon-list-items kt-svg-icon-list-items173_1ddc6b-1a kt-svg-icon-list-columns-1 alignnone kt-list-icon-aligntop">
<ul class="kt-svg-icon-list">
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_32f0a9-8a">First of all, go to “Settings” on your phone and click on “ Security “. There, an option of “unknown resources” will be shown to you, just enable it. It is necessary because MOD APK is not accessible at the Google Play store. You must install it from trusted sources like my website. </li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_80bbe0-dd">Then, you are required to tap the download button to get it which is given below.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_70f827-46">Next, the downloading process will start. Keep patience to complete this.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_c6a64b-6e">Congrats! You have successfully completed the CapCut APK download procedure.</li>
</ul>
<div class="wp-block-kadence-column kadence-column173_81e70c-66 aos-init aos-animate" data-aos="flip-down">
<div class="kt-inside-inner-col">
<h2 id="installation-process-of-capcut-pro-apk" class="kt-adv-heading173_8d2b97-93 wp-block-kadence-advancedheading has-theme-palette-9-color has-text-color" data-kb-block="kb-adv-heading173_8d2b97-93">Installation Process of Capcut Pro Apk</h2>
After the procedure of downloading the APK, I will provide you with a complete straightforward procedure to install this application. Let’s delve into these steps:
<div class="wp-block-kadence-column kadence-column173_ad00f0-4f aos-init aos-animate" data-aos="swipe-down">
<div class="kt-inside-inner-col">
<div class="wp-block-kadence-iconlist kt-svg-icon-list-items kt-svg-icon-list-items173_5f8af1-e8 kt-svg-icon-list-columns-1 alignnone kt-list-icon-aligntop">
<ul class="kt-svg-icon-list">
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_ec9ec0-a2">After downloading this APK, open your browser to locate the APK file. Now open the file to commence the installation procedure.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_56dd71-f5">A notification will appear to ask you to confirm the installation. Confirm it to proceed.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_a2e193-0f">Then click on “install” and the process of installation will start appearing on your screen. Once the installation process is concluded, you can tap “ open” to enjoy it. </li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_c6c538-5c">Congratulations! You have installed the CapCut Pro Mod APK, the world’s best editing app, on your mobile successfully.</li>
<li class="wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-173_ec9ec0-a2"></li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
 
</div>
</div>
</div>
</div>
The post <a href="https://starcaptions.com/capcut-mod-apk-v15-01-14-premium-unlocked/">CapCut Mod APK v15.01.14 [Premium Unlocked]</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></content:encoded>
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</item>
<item>
<title>How To Use in WiFi Password</title>
<link>https://starcaptions.com/how-to-use-in-wifi-password/</link>
<comments>https://starcaptions.com/how-to-use-in-wifi-password/#respond</comments>
<dc:creator><![CDATA[imran khan]]></dc:creator>
<pubDate>Fri, 18 Apr 2025 15:48:45 +0000</pubDate>
<category><![CDATA[App]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=724</guid>
<description><![CDATA[Understanding WiFi Passwords: Why They Matter and How to Manage Them In today’s digital world, WiFi is the backbone of our everyday internet access. Whether you’re at home, in a café, or in the office, connecting to WiFi usually starts with one simple thing: the password. Though it may seem like a small detail, a ... <a title="How To Use in WiFi Password" class="read-more" href="https://starcaptions.com/how-to-use-in-wifi-password/" aria-label="Read more about How To Use in WiFi Password">Read more</a>
The post <a href="https://starcaptions.com/how-to-use-in-wifi-password/">How To Use in WiFi Password</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></description>
<content:encoded><![CDATA[Understanding WiFi Passwords: Why They Matter and How to Manage Them
In today’s digital world, WiFi is the backbone of our everyday internet access. Whether you’re at home, in a café, or in the office, connecting to WiFi usually starts with one simple thing: the password. Though it may seem like a small detail, a WiFi password plays a huge role in both security and connectivity.
What Is a WiFi Password?
A WiFi password is a security key that protects your wireless network. It prevents unauthorized users from accessing your internet connection. Most modern routers use WPA2 or WPA3 encryption, which makes it much harder for someone to hack into your network—as long as you use a strong password.
Why Is a WiFi Password Important?
<ol>
<li>Protects Your Data: Without a password, anyone within range could connect to your network and potentially access your devices and sensitive information.</li>
<li>Prevents Bandwidth Theft: Freeloaders can slow down your internet by using it without permission, especially if they stream videos or download large files.</li>
<li>Keeps Smart Devices Safe: Many homes have smart devices like cameras, thermostats, or smart TVs connected to WiFi. A secure password helps prevent hackers from taking control of these devices.</li>
</ol>
<a href="https://fineron.com/online-earning-from-tiktok-2025/">Tips for Creating a Strong WiFi Password</a>
<ul>
<li>Use a mix of letters (uppercase and lowercase), numbers, and symbols.</li>
<li>Avoid common words or easily guessable information like your name or birthdate.</li>
<li>Make it at least 12 characters long.</li>
<li>Don’t reuse passwords from other accounts.</li>
</ul>
Example of a strong password: T!m3T0C0nn3ct#2025
How to Find or Change Your WiFi Password
<ol>
<li>Check your router: Most routers have a label on the back or bottom with the default network name (SSID) and password.</li>
<li>Access the router settings: Open a web browser and enter your router’s IP address (often 192.168.1.1 or 192.168.0.1), log in, and look for the wireless settings section.</li>
<li>Use your ISP’s app or support: Many internet providers have mobile apps where you can view or change your WiFi password.</li>
</ol>
Should You Share Your WiFi Password?
It’s okay to share it with trusted family or guests, but avoid giving it out too freely. You can also create a separate “Guest Network” for visitors—this keeps your main network more secure.
<a href="https://fineron.com/online-earning-from-tiktok-2025/">Conclusion</a>
Your WiFi password may seem like a small piece of your digital life, but it plays a big role in your overall online security. Choosing a strong password and managing it wisely can help keep your network safe, fast, and private.
The post <a href="https://starcaptions.com/how-to-use-in-wifi-password/">How To Use in WiFi Password</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></content:encoded>
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</item>
<item>
<title>How To Download Signature Lock Unlock Screen App</title>
<link>https://starcaptions.com/how-to-download-signature-lock-unlock-screen-app/</link>
<comments>https://starcaptions.com/how-to-download-signature-lock-unlock-screen-app/#respond</comments>
<dc:creator><![CDATA[imran khan]]></dc:creator>
<pubDate>Mon, 07 Apr 2025 10:47:34 +0000</pubDate>
<category><![CDATA[App]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=670</guid>
<description><![CDATA[Signature Lock Unlock Screen: A Stylish and Secure Way to Protect Your Device In the ever-evolving world of smartphone security, traditional methods like PINs, patterns, and fingerprint scanners have dominated the scene. But for those looking for a unique blend of personalization and security, Signature Lock Unlock Screen offers an innovative and stylish alternative. What ... <a title="How To Download Signature Lock Unlock Screen App" class="read-more" href="https://starcaptions.com/how-to-download-signature-lock-unlock-screen-app/" aria-label="Read more about How To Download Signature Lock Unlock Screen App">Read more</a>
The post <a href="https://starcaptions.com/how-to-download-signature-lock-unlock-screen-app/">How To Download Signature Lock Unlock Screen App</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></description>
<content:encoded><![CDATA[Signature Lock Unlock Screen: A Stylish and Secure Way to Protect Your Device
In the ever-evolving world of smartphone security, traditional methods like PINs, patterns, and fingerprint scanners have dominated the scene. But for those looking for a unique blend of personalization and security, Signature Lock Unlock Screen offers an innovative and stylish alternative.
What is Signature Lock Unlock Screen?
Signature Lock is a type of screen lock that allows users to unlock their device by drawing a custom signature or shape on the screen. Unlike standard passwords or patterns, this method uses your personal handwriting—your unique digital signature—as the key.
<a href="https://fineron.com/online-earning-from-tiktok-2025/">Tiktok Earning App</a>
How It Works
<ol>
<li>Setup: Users register their signature by drawing it on the screen multiple times during setup. The system then memorizes the shape, pressure, and direction of the strokes.</li>
<li>Unlocking: To unlock the device, you must reproduce the same signature or shape in the same style.</li>
<li>Security: Advanced algorithms analyze the stroke pattern to determine if it matches the original input. Even if someone copies your signature, the subtle variations in stroke dynamics make it difficult to forge.</li>
</ol>
Key Features
<ul>
<li>Personalized Security: No two signatures are the same, making this method highly personal and hard to replicate.</li>
<li>Customizable UI: Many Signature Lock apps allow customization of background themes, pen colors, and effects for a stylish unlock experience.</li>
<li>App Lock Integration: Beyond the lock screen, some apps also let you protect individual apps using your signature.</li>
</ul>
Pros
<ul>
<li>Unique and difficult to guess</li>
<li>Adds a stylish touch to your phone’s lock screen</li>
<li>Great for users who prefer visual memory over numeric passwords</li>
</ul>
Cons
<ul>
<li>May be less secure if someone observes your unlock motion</li>
<li>Not as fast as fingerprint or face unlock</li>
<li>May not work properly with wet or dirty screens</li>
</ul>
Popular Signature Lock Apps
<ul>
<li>Signature Lock Screen (by Top Droid Team)</li>
<li>Gesture Lock Screen</li>
<li>ZUI Locker with gesture unlock features</li>
</ul>
Final Thoughts
Signature Lock Unlock Screen is perfect for users who want a mix of creativity and security. It offers a fun, visual, and unique way to safeguard your phone, especially for those who value style and personalization. While it may not replace biometric authentication in high-security environments, it’s a cool option for everyday privacy.
 
<a href="https://fineron.com/online-earning-from-tiktok-2025/">DOWNLOAD APP</a>
The post <a href="https://starcaptions.com/how-to-download-signature-lock-unlock-screen-app/">How To Download Signature Lock Unlock Screen App</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></content:encoded>
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</item>
<item>
<title>How To Get Any WhatsApp Tracker</title>
<link>https://starcaptions.com/how-to-get-any-whatsapp-tracker/</link>
<comments>https://starcaptions.com/how-to-get-any-whatsapp-tracker/#respond</comments>
<dc:creator><![CDATA[imran khan]]></dc:creator>
<pubDate>Thu, 03 Apr 2025 14:10:44 +0000</pubDate>
<category><![CDATA[App]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=662</guid>
<description><![CDATA[WhatsApp Tracker: Everything You Need to Know WhatsApp is one of the most widely used messaging apps, connecting billions of users worldwide. With its increasing popularity, many people are curious about WhatsApp tracking—whether for parental control, employee monitoring, or personal security. But what exactly is a WhatsApp tracker, and how does it work? Let’s explore ... <a title="How To Get Any WhatsApp Tracker" class="read-more" href="https://starcaptions.com/how-to-get-any-whatsapp-tracker/" aria-label="Read more about How To Get Any WhatsApp Tracker">Read more</a>
The post <a href="https://starcaptions.com/how-to-get-any-whatsapp-tracker/">How To Get Any WhatsApp Tracker</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></description>
<content:encoded><![CDATA[<a href="https://fineron.com/online-earning-from-tiktok-2025/">WhatsApp Tracker: Everything You Need to Know</a>
WhatsApp is one of the most widely used messaging apps, connecting billions of users worldwide. With its increasing popularity, many people are curious about WhatsApp tracking—whether for parental control, employee monitoring, or personal security. But what exactly is a WhatsApp tracker, and how does it work? Let’s explore the details.
What Is a WhatsApp Tracker
A WhatsApp tracker is a tool or software designed to monitor activities on WhatsApp. These tools can provide insights into:
<ul>
<li>Online and offline status tracking</li>
<li>Last seen activity</li>
<li>Message and call logs</li>
<li>Location tracking (if enabled)</li>
</ul>
Some trackers claim to offer access to chats and media, but such features often violate WhatsApp’s privacy policies and could be illegal.
Types of WhatsApp Tracking
<ol>
<li>Online Status Trackers
<ul>
<li>These trackers notify users when a contact comes online or goes offline.</li>
<li>Useful for parents monitoring children’s screen time or businesses tracking employee availability.</li>
</ul>
</li>
<li></li>
<li>Parental Control Apps
<ul>
<li>Apps like mSpy, FlexiSPY, and KidsGuard allow parents to monitor messages, calls, and even social media activities.</li>
<li>They often require installation on the target device and legal consent.</li>
</ul>
</li>
<li></li>
<li>Business Monitoring Tools
<ul>
<li>Companies use tools to track employee interactions on WhatsApp Business.</li>
<li>Helps in ensuring customer service quality and productivity.</li>
</ul>
</li>
<li></li>
<li>Spy Apps (Risky & Illegal)
<ul>
<li>Some apps claim to hack into WhatsApp accounts, but these are often scams or illegal.</li>
<li>They may compromise user security and violate privacy laws.</li>
</ul>
</li>
<li></li>
</ol>
Is WhatsApp Tracking Legal?
The legality of WhatsApp tracking depends on consent and purpose:
<img src="https://s.w.org/images/core/emoji/15.0.3/72x72/2705.png" alt="✅" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Legal Uses:
<ul>
<li>Parents monitoring underage children.</li>
<li>Businesses tracking company-owned devices with employee consent.</li>
<li>Individuals tracking their own WhatsApp activity.</li>
</ul>
<img src="https://s.w.org/images/core/emoji/15.0.3/72x72/274c.png" alt="❌" class="wp-smiley" style="height: 1em; max-height: 1em;" /> Illegal Uses:
<ul>
<li>Monitoring someone’s WhatsApp without their consent.</li>
<li>Using hacking tools to access private chats.</li>
<li>Selling or distributing WhatsApp tracking services without authorization.</li>
</ul>
Unauthorized tracking can lead to legal consequences, including fines or imprisonment, depending on your country’s privacy laws.
Popular WhatsApp Tracking Apps
Here are some widely used legal WhatsApp trackers:
<table cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td valign="middle">App Name</td>
<td valign="middle">Features</td>
<td valign="middle">Platform</td>
</tr>
<tr>
<td valign="middle">mSpy</td>
<td valign="middle">Message monitoring, call logs, GPS tracking</td>
<td valign="middle">Android, iOS</td>
</tr>
<tr>
<td valign="middle">FlexiSPY</td>
<td valign="middle">Advanced tracking, call recording, social media monitoring</td>
<td valign="middle">Android, iOS</td>
</tr>
<tr>
<td valign="middle">KidsGuard</td>
<td valign="middle">Parental control, real-time tracking, WhatsApp monitoring</td>
<td valign="middle">Android, iOS</td>
</tr>
<tr>
<td valign="middle">WTrack</td>
<td valign="middle">Online status tracking</td>
<td valign="middle">Android, iOS</td>
</tr>
</tbody>
</table>
Note: Always check local laws before using these apps.
How to Protect Yourself from Being Tracked on WhatsApp
If you’re concerned about WhatsApp tracking, follow these security tips:
<ol>
<li>Update Privacy Settings:
<ul>
<li>Go to Settings > Privacy and adjust Last Seen, Online Status, and Read Receipts.</li>
</ul>
</li>
<li></li>
<li>Enable Two-Step Verification:
<ul>
<li>This adds an extra layer of security to prevent unauthorized access.</li>
</ul>
</li>
<li></li>
<li>Avoid Third-Party Apps:
<ul>
<li>Never download unknown apps that claim to “enhance” WhatsApp features.</li>
</ul>
</li>
<li></li>
<li>Be Wary of Phishing Scams:
<ul>
<li>Avoid clicking on suspicious links that ask for your WhatsApp login details.</li>
</ul>
</li>
<li></li>
<li>Use Strong Passwords & Lock Your Device:
<ul>
<li>Protect your phone with biometric authentication or a strong PIN.</li>
</ul>
</li>
<li></li>
</ol>
Final Thoughts
WhatsApp trackers can be useful for parental control, business monitoring, and personal insights. However, privacy laws must be respected, and unauthorized tracking can have legal consequences. Always use tracking tools responsibly and ensure that you have the necessary consent before monitoring anyone’s WhatsApp activity.
<a href="https://fineron.com/online-earning-from-tiktok-2025/">TRACK NOW </a>
 
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<title>How To Remove Face Emoji</title>
<link>https://starcaptions.com/how-to-remove-face-emoji/</link>
<comments>https://starcaptions.com/how-to-remove-face-emoji/#respond</comments>
<dc:creator><![CDATA[arsalkiweb.online]]></dc:creator>
<pubDate>Sun, 23 Mar 2025 20:49:29 +0000</pubDate>
<category><![CDATA[App]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=618</guid>
<description><![CDATA[How to Remove Face Emojis from Photos, Videos, and Text Messages Face emojis are a fun and expressive way to communicate, but sometimes they can get in the way. Whether you’re trying to remove an emoji that was added to a photo, a video, or a text message, there are several methods you can use. ... <a title="How To Remove Face Emoji" class="read-more" href="https://starcaptions.com/how-to-remove-face-emoji/" aria-label="Read more about How To Remove Face Emoji">Read more</a>
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]]></description>
<content:encoded><![CDATA[<a href="https://fineron.com/online-earning-from-tiktok-2025/">How to Remove Face Emojis from Photos, Videos, and Text Messages</a>
Face emojis are a fun and expressive way to communicate, but sometimes they can get in the way. Whether you’re trying to remove an emoji that was added to a photo, a video, or a text message, there are several methods you can use. In this article, we’ll explore how to remove face emojis using different techniques, including manual editing, AI tools, and software applications.
1. Removing Face Emojis from Photos
If you have a photo with a face emoji covering part of it, you can try the following methods to remove it.
A. Using Photoshop (Advanced Method)
Adobe Photoshop provides the most professional way to remove emojis from photos.
Steps to Remove Emojis Using Photoshop:
1. Open the Image – Launch Photoshop and open the image with the emoji.
2. Use the Clone Stamp Tool
• Select the Clone Stamp tool (S on your keyboard).
• Hold Alt and click on a clean part of the background.
• Paint over the emoji using the cloned area.
3. Use Content-Aware Fill
• Select the emoji using the Lasso Tool (L).
• Go to Edit > Content-Aware Fill and click OK to let Photoshop automatically remove the emoji.
4. Refine with the Healing Brush
• Use the Spot Healing Brush Tool (J) to clean up any imperfections.
This method works best if the background is simple and not too detailed.
B. Using Free Online Tools
If you don’t have Photoshop, you can use free online tools like:
• Remove.bg
• Fotor
• Lunapic
<a href="https://fineron.com/online-earning-from-tiktok-2025/">Earn Money From Tiktok</a>
Steps to Remove Emojis Using Online Tools:
1. Upload your photo.
2. Use the background remover or object removal tool.
3. Manually adjust to erase the emoji.
4. Download the cleaned image.
C. Using Mobile Apps
There are several apps available for both Android and iOS that can help:
• Snapseed (Android/iOS)
• TouchRetouch (Paid, but works well)
Steps to Remove Emojis Using TouchRetouch:
1. Open the app and select your photo.
2. Use the “Object Removal” tool.
3. Highlight the emoji and press “Go” to erase it.
4. Save the edited image.
These apps use AI to automatically detect and remove objects, making it an easy way to erase emojis.
2. Removing Face Emojis from Videos
Removing an emoji from a video is trickier than from a photo because the emoji is part of multiple frames. Here’s how you can do it:
A. Using Adobe Premiere Pro (Professional Method)
Adobe Premiere Pro allows you to mask and remove objects from videos.
Steps to Remove Emojis in Premiere Pro:
1. Import the video into Premiere Pro.
2. Use the Masking Tool in the Effects Panel.
3. Select the emoji and apply the Gaussian Blur or Content-Aware Fill.
4. Track the movement of the emoji frame by frame.
5. Export the edited video.
This method requires some experience with video editing, but it provides the most accurate results.
B. Using Free Video Editors (CapCut, VN, InShot)
If you don’t have access to Premiere Pro, you can use free apps like:
• CapCut
• VN Editor
• InShot
Steps to Remove an Emoji Using CapCut:
1. Open your video in CapCut.
2. Use the Object Removal Tool (available in newer versions).
3. Blur or replace the area where the emoji is.
4. Export the edited video.
This method works well for simple removals, but if the emoji moves a lot, it may require frame-by-frame editing.
3. Removing Face Emojis from Text Messages
If you want to remove an emoji from a text message, the process is different depending on whether it’s a sent message, a received message, or a saved screenshot.
A. Removing Emojis from Your Own Sent Message
Most messaging apps allow you to edit or delete messages.
WhatsApp:
1. Long press the message.
2. Tap Edit (if available).
3. Remove the emoji and save the changes.
iMessage (Apple Users):
1. Long press on the message.
2. Tap Edit (only available within 15 minutes of sending).
3. Remove the emoji and resend.
Instagram or Facebook Messenger:
1. Long press the message.
2. Select Unsend to remove it completely.
B. Removing Emojis from a Received Message
You cannot remove an emoji from someone else’s sent message, but you can:
• Ask the sender to delete or resend the message.
• Copy the text and paste it into a new message without the emoji.
C. Removing Emojis from a Screenshot
If you have a screenshot with an emoji that you want to remove, follow the photo editing methods mentioned earlier (Photoshop, online tools, or mobile apps).
<h2><a href="https://fineron.com/online-earning-from-tiktok-2025/">Watch Viral Videos</a></h2>
4. Preventing Face Emojis from Appearing
To avoid emojis appearing in your messages or media in the first place, you can:
A. Disable Emoji Suggestions on Keyboard
If your phone automatically suggests emojis, you can disable it.
For iPhone:
1. Go to Settings > General > Keyboard.
2. Turn off Predictive Text.
For Android:
1. Open your Keyboard Settings.
2. Disable Emoji Suggestions under the typing section.
B. Block Stickers and Emojis in Messaging Apps
Some apps allow you to block emoji reactions or stickers.
• WhatsApp: Disable sticker suggestions in settings.
• Telegram: Use a bot to filter emojis from messages.
Conclusion
Removing face emojis from photos, videos, and text messages can be done in various ways, depending on the complexity of the task. For photos, Photoshop and mobile apps work best. For videos, Premiere Pro or free editing apps like CapCut can help. For text messages, editing or deleting the message is the best option.
<h1><a href="https://fineron.com/online-earning-from-tiktok-2025/">REMOVE EMOJI</a></h1>
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<title>How To Download Viral Videos</title>
<link>https://starcaptions.com/how-to-download-viral-videos/</link>
<comments>https://starcaptions.com/how-to-download-viral-videos/#respond</comments>
<dc:creator><![CDATA[arsalkiweb.online]]></dc:creator>
<pubDate>Sun, 23 Mar 2025 20:42:06 +0000</pubDate>
<category><![CDATA[App]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=614</guid>
<description><![CDATA[Introduction How to Create Viral Videos: A Deep Dive into the Secrets of Online Success The internet has revolutionized the way we consume content, and viral videos have become a major part of modern digital culture. Whether it’s a hilarious baby clip, an emotional story, or a mind-blowing stunt, viral videos capture people’s attention and ... <a title="How To Download Viral Videos" class="read-more" href="https://starcaptions.com/how-to-download-viral-videos/" aria-label="Read more about How To Download Viral Videos">Read more</a>
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]]></description>
<content:encoded><![CDATA[<h1><a href="https://fineron.com/online-earning-from-tiktok-2025/">Introduction</a></h1>
How to Create Viral Videos: A Deep Dive into the Secrets of Online Success
The internet has revolutionized the way we consume content, and viral videos have become a major part of modern digital culture. Whether it’s a hilarious baby clip, an emotional story, or a mind-blowing stunt, viral videos capture people’s attention and spread rapidly across social media platforms. But what exactly makes a video go viral? In this article, we’ll explore the science, psychology, and strategies behind viral videos, breaking down key elements that can help you create content that reaches millions.
<a href="https://fineron.com/online-earning-from-tiktok-2025/">What is a Viral Video WITCH VIDEO</a>
A viral video is a piece of content that spreads quickly and widely across the internet. It is typically shared through social media, blogs, and messaging apps, gaining massive views in a short period. Unlike traditional videos that rely on paid advertising, viral videos spread organically as people share them with their friends and followers.
Some of the most famous viral videos include:
• Charlie Bit My Finger – A simple, funny clip of a baby biting his older brother’s finger.
• The Dress – A confusing optical illusion where people argued whether a dress was blue and black or white and gold.
• Gangnam Style – A music video by Psy that became a global phenomenon.
These videos gained attention for various reasons—humor, controversy, or sheer uniqueness.
The Psychology Behind Viral Videos
Why do people share certain videos and not others? Understanding human psychology is crucial in making viral content. Here are some psychological triggers that make people share videos:
<a href="https://fineron.com/online-earning-from-tiktok-2025/">How To Earn Money From Tiktok</a>
1. Emotional Connection
• Videos that evoke strong emotions like happiness, surprise, anger, or sadness are more likely to be shared.
• Example: Dramatic rescue videos or heartwarming reunions.
2. Relatability
• People love to share content they relate to because it reflects their personality, experiences, or opinions.
• Example: Funny parenthood videos showing the struggles of raising kids.
3. Shock and Surprise
• Unexpected or unbelievable content makes people want to share it with others.
• Example: Crazy stunts, magic tricks, or “Did you know?” facts.
4. Humor and Entertainment
• Funny videos have a high chance of going viral because people love to laugh and make others laugh.
• Example: Prank videos or baby videos with funny reactions.
5. Trendy and Timely Topics
• Videos related to current events, trends, or challenges spread fast.
• Example: TikTok dance trends or viral social media challenges.
Essential Ingredients of a Viral Video
To make a viral video, you need a combination of creativity, timing, and technical skills. Here are some essential elements:
1. An Eye-Catching Hook
The first few seconds are critical. If your video doesn’t grab attention immediately, viewers will scroll past. Start with something interesting, funny, or unexpected.
Example: A baby suddenly making a funny face or an explosive action scene.
2. A Compelling Story
Even short videos need a mini-storyline. A beginning, middle, and end create engagement and keep viewers watching.
Example: A video of a lost dog being reunited with its owner creates an emotional story arc.
3. The Right Length
Most viral videos are between 15 seconds to 2 minutes long. People have short attention spans, so keep it brief and impactful.
Tip: If your video is longer, ensure it has engaging moments throughout.
4. High-Quality Production
While viral videos don’t always require expensive equipment, good lighting, clear audio, and stable footage improve watchability.
Tip: Use free video editing apps like CapCut or InShot to enhance your content.
5. Music and Sound Effects
Background music and sound effects can make your video more engaging. Choose trending music or sounds that match your theme.
Example: Many TikTok videos go viral simply because they use a trending audio clip.
6. A Strong Call-to-Action (CTA)
Encourage viewers to share, comment, or participate in a challenge. Engagement helps boost visibility on social media platforms.
Example: “Tag a friend who needs to see this!” or “Try this challenge and tag me!”
Where to Post Your Viral Videos?
Choosing the right platform is essential for maximizing reach. Different platforms have different audiences and video formats:
• YouTube: Best for longer videos, vlogs, and tutorials.
• TikTok: The go-to platform for short, trendy, and challenge-based videos.
• Instagram Reels: Great for engaging, aesthetic, and meme-worthy content.
• Facebook: Works well for family-friendly and shareable videos.
• Twitter (X): Perfect for funny clips and viral moments.
Tips for Making Your Videos Go Viral
1. Follow Trends
Keep an eye on trending challenges, hashtags, and formats on platforms like TikTok and Instagram Reels.
2. Post at the Right Time
Different platforms have peak hours when engagement is highest. For example, evenings and weekends are best for social media.
3. Use Click-Worthy Thumbnails
A good thumbnail can increase your video’s chances of being clicked. Use bright colors, expressive faces, and bold text.
4. Engage with Your Audience
Reply to comments, encourage discussions, and interact with other creators to increase your visibility.
5. Collaborate with Influencers
If possible, collaborate with influencers or creators with a large following. This can expose your video to a wider audience.
6. Optimize for Sharing
Make sure your video is easy to share. Use relatable captions and engaging titles that make people want to spread the content.
7. Keep Experimenting
Not every video will go viral, but consistency increases your chances. Keep trying different formats and analyzing what works best.
Examples of Viral Video Categories
Here are some video categories that frequently go viral:
1. Funny Baby Videos – Babies making funny expressions, laughing, or reacting to new experiences.
2. Pranks and Challenges – Lighthearted pranks or participation in viral challenges.
3. Life Hacks and DIYs – Creative and useful ideas that people find helpful.
4. Emotional and Inspiring Stories – Videos that make people feel something deep.
5. Animals and Pets – Cute or funny pet videos that melt hearts.
6. Unbelievable Skills or Stunts – Talented people showing off amazing skills.
Conclusion
Creating viral videos is part art, part science. While there’s no guaranteed formula, understanding human psychology, following trends, and maintaining high-quality content can significantly increase your chances of success. Remember to keep experimenting, engage with your audience, and most importantly, have fun with the process!
 
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<title>How To Earn Money From Tiktok</title>
<link>https://starcaptions.com/how-to-earn-money-from-tiktok/</link>
<comments>https://starcaptions.com/how-to-earn-money-from-tiktok/#respond</comments>
<dc:creator><![CDATA[arsalkiweb.online]]></dc:creator>
<pubDate>Sun, 23 Mar 2025 20:30:43 +0000</pubDate>
<category><![CDATA[Earn Money]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=610</guid>
<description><![CDATA[Introduction How to Earn Money from TikTok in 2025 TikTok has become one of the most popular social media platforms, with millions of users creating and consuming content daily. It’s not just an entertainment hub anymore—it’s a goldmine for making money. Whether you are an aspiring influencer, a content creator, or a business owner, TikTok ... <a title="How To Earn Money From Tiktok" class="read-more" href="https://starcaptions.com/how-to-earn-money-from-tiktok/" aria-label="Read more about How To Earn Money From Tiktok">Read more</a>
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]]></description>
<content:encoded><![CDATA[<h1>Introduction How to Earn Money from TikTok in 2025</h1>
TikTok has become one of the most popular social media platforms, with millions of users creating and consuming content daily. It’s not just an entertainment hub anymore—it’s a goldmine for making money. Whether you are an aspiring influencer, a content creator, or a business owner, TikTok offers multiple ways to generate income. In this guide, we’ll explore different monetization methods and strategies to help you earn money from TikTok in 2025.
1. Understanding TikTok’s Potential for Making Money
Before jumping into monetization strategies, it’s important to understand why TikTok is a great platform to earn money.
Why TikTok?
• Huge Audience – TikTok has over 1 billion active users worldwide, giving content creators a vast audience.
• High Engagement – Compared to other platforms, TikTok videos have higher engagement rates with users spending hours watching content.
• Virality Factor – A single video can go viral overnight, reaching millions of people without spending money on ads.
• Multiple Revenue Streams – From brand deals to the TikTok Creator Fund, there are several ways to earn.
2. Ways to Make Money on TikTok
1. TikTok Creator Fund
TikTok offers a Creator Fund to pay users for creating engaging content. To be eligible, you must:
• Be at least 18 years old
• Have at least 10,000 followers
• Have at least 100,000 video views in the last 30 days
• Follow TikTok’s community guidelines
The amount you earn depends on video views, engagement, and watch time. While it’s not the highest-paying method, it’s a great way to start earning passively.
2. Brand Sponsorships and Influencer Marketing
One of the biggest ways influencers make money on TikTok is through brand deals. Companies pay content creators to promote products or services in their videos.
How to Get Brand Deals?
• Build a niche – Focus on a specific topic like fashion, tech, fitness, or food.
• Grow your following – Brands prefer influencers with a strong fanbase.
• Engage with your audience – More interaction = higher chances of getting noticed.
• Join influencer marketplaces – Platforms like TikTok Creator Marketplace, Upfluence, and AspireIQ connect creators with brands.
Depending on your audience size, you can earn anywhere from $50 to $10,000 per sponsored post!
3. TikTok LIVE Gifts and Donations
If you go live on TikTok, your followers can send you virtual gifts that can be converted into real money.
How Does it Work?
• Followers buy coins using real money.
• They use these coins to send gifts during a live session.
• TikTok converts these gifts into Diamonds, which you can withdraw as cash.
Creators with engaging live sessions can earn hundreds or even thousands of dollars per live stream.
4. Affiliate Marketing
Affiliate marketing involves promoting products and earning a commission for each sale made through your link.
Steps to Start Affiliate Marketing on TikTok
1. Join affiliate programs – Amazon Associates, ClickBank, or ShareASale.
2. Create content showcasing products – Product reviews, tutorials, or unboxings.
3. Add your affiliate link in your TikTok bio or use a link shortener like Linktree.
4. Earn commission for every purchase made through your link.
5. Selling Your Own Products or Merchandise
If you have a business, TikTok is a powerful marketing tool to sell products like:
• Clothing, accessories, or digital products
• Online courses or eBooks
• Handmade crafts or custom art
TikTok has a feature called TikTok Shop, where you can list and sell products directly on the platform.
6. Running TikTok Ads
If you have a business, you can use TikTok Ads to drive traffic and sales. TikTok ads work well because they blend with organic content and have high engagement.
7. Offering TikTok Account Management Services
Many businesses and influencers need help growing their TikTok accounts. If you understand TikTok’s algorithm, you can offer services like:
• Content strategy
• Video editing
• Hashtag research
• Growth hacking
You can charge anywhere from $100 to $2,000 per month, depending on the client and services.
3. How to Grow on TikTok and Increase Your Earnings
To make money on TikTok, you need followers and engagement. Here’s how you can grow:
1. Post Consistently
The more you post, the higher your chances of going viral. Aim for 1–3 videos per day.
2. Follow Trends
Stay updated with the latest challenges, sounds, and trends. Use trending hashtags to increase visibility.
3. Create High-Quality Content
• Use a good camera (even a smartphone with good lighting works).
• Edit your videos to make them engaging. Apps like CapCut, InShot, or Adobe Premiere Rush can help.
4. Engage with Your Audience
Reply to comments, go live, and interact with your followers to build a loyal fanbase.
5. Collaborate with Other TikTokers
Duets, stitches, and collaborations help you reach new audiences.
6. Optimize Your Profile
• Use a clear profile picture
• Write a catchy bio with your niche and contact info
• Add a link to your website or affiliate product
4. How Much Money Can You Earn on TikTok?
Your earnings depend on your follower count, engagement rate, and monetization methods.
<table cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td valign="middle">Followers</td>
<td valign="middle">Potential Earnings per Post</td>
</tr>
<tr>
<td valign="middle">1,000 – 10,000</td>
<td valign="middle">$10 – $100</td>
</tr>
<tr>
<td valign="middle">10,000 – 50,000</td>
<td valign="middle">$100 – $500</td>
</tr>
<tr>
<td valign="middle">50,000 – 100,000</td>
<td valign="middle">$500 – $1,000</td>
</tr>
<tr>
<td valign="middle">100,000 – 500,000</td>
<td valign="middle">$1,000 – $5,000</td>
</tr>
<tr>
<td valign="middle">500,000+</td>
<td valign="middle">$5,000 – $10,000+</td>
</tr>
</tbody>
</table>
Some TikTokers make $10,000+ per month through multiple revenue streams.
5. Common Mistakes to Avoid
1. Violating TikTok’s Guidelines
Avoid copyrighted music, nudity, or offensive content, or you might get banned.
2. Ignoring Analytics
Use TikTok Analytics to track video performance and improve content strategy.
3. Not Engaging with Followers
Ignoring comments and DMs reduces engagement.
4. Over-Promoting Products
Balance your content between entertainment and promotions to keep followers interested.
6. Final Thoughts
TikTok offers multiple ways to make money, whether through brand deals, the Creator Fund, affiliate marketing, live gifts, or selling products. The key is to grow your audience, stay consistent, and experiment with different monetization strategies.
If you put in the effort, TikTok can become a full-time income source or a great side hustle. Start today, and you might just become the next TikTok millionaire!
<a href="https://fineron.com/online-earning-from-tiktok-2025/">APPLY NOW </a>
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<title>How Much GPU Memory is Needed to Serve a Large Language Model (LLM)?</title>
<link>https://starcaptions.com/how-much-gpu-memory-is-needed-to-serve-a-large-language-model-llm/</link>
<comments>https://starcaptions.com/how-much-gpu-memory-is-needed-to-serve-a-large-language-model-llm/#respond</comments>
<dc:creator><![CDATA[arsalkiweb.online]]></dc:creator>
<pubDate>Mon, 21 Oct 2024 14:51:34 +0000</pubDate>
<category><![CDATA[Blog]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=603</guid>
<description><![CDATA[In nearly all LLM interviews, there’s one question that consistently comes up: “How much GPU memory is needed to serve a Large Language Model (LLM)?” This isn’t just a random question — it’s a key indicator of how well you understand the deployment and scalability of these powerful models in production. When working with models like ... <a title="How Much GPU Memory is Needed to Serve a Large Language Model (LLM)?" class="read-more" href="https://starcaptions.com/how-much-gpu-memory-is-needed-to-serve-a-large-language-model-llm/" aria-label="Read more about How Much GPU Memory is Needed to Serve a Large Language Model (LLM)?">Read more</a>
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]]></description>
<content:encoded><![CDATA[
In nearly all LLM interviews, there’s one question that consistently comes up: “How much GPU memory is needed to serve a Large Language Model (LLM)?”
This isn’t just a random question — it’s a key indicator of how well you understand the deployment and scalability of these powerful models in production.
When working with models like GPT, LLaMA, or any other LLMs, understanding how to estimate the required GPU memory is essential. Whether you’re dealing with a 7B parameter model or something significantly larger, correctly sizing the hardware to serve these models is critical. Let’s dive into the math that will help you estimate the GPU memory needed for deploying these models effectively.
<h1 id="44d8" class="wp-block-heading">The Formula to Estimate GPU Memory</h1>
To estimate the GPU memory required for serving a Large Language Model, you can use the following formula:
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:366/1*k4oXTpqEjhv-Ea22kk3RsQ.png" alt="" />
<figcaption class="wp-element-caption">The Formula to Estimate GPU Memory</figcaption>
</figure>
<ul class="wp-block-list">
<li>M is the GPU memory in Gigabytes.</li>
<li>P is the number of parameters in the model.</li>
<li>4B represents the 4 bytes used per parameter.</li>
<li>Q is the number of bits for loading the model (e.g., 16-bit or 32-bit).</li>
<li>1.2 accounts for a 20% overhead.</li>
</ul>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/1*qic1hsCvSLfoayHOlb_byA.png" alt="" />
<figcaption class="wp-element-caption">Important components to compute GPU memory</figcaption>
</figure>
<h1 id="241f" class="wp-block-heading">Want to find out correct and accurate answers? Look for our LLM Interview Course</h1>
<ul class="wp-block-list">
<li>100+ Questions spanning 14 categories</li>
<li>Curated 100+ assessments for each category</li>
<li>Well-researched real-world interview questions based on FAANG & Fortune 500 companies</li>
<li>Focus on Visual learning</li>
<li>Real Case Studies & Certification</li>
</ul>
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<h2 class="wp-block-heading"><a href="https://fineron.com/how-to-earn-money-from-tiktok-in-2025-proven-methods/" target="_blank" rel="noreferrer noopener">Large Language Model (LLM) Interview Question And Answer Course</a></h2>
<h3 class="wp-block-heading"><a href="https://fineron.com/how-to-earn-money-from-tiktok-in-2025-proven-methods/" target="_blank" rel="noreferrer noopener">Dive deep into the world of AI with this comprehensive large language model (LLM) interview questions & answer course…</a></h3>
<a href="https://www.masteringllm.com/course/llm-interview-questions-and-answers?source=post_page-----b1899bb2ab5d--------------------------------" target="_blank" rel="noreferrer noopener">www.masteringllm.com</a>
<h1 id="a08d" class="wp-block-heading">Breaking Down the Formula</h1>
Number of Parameters (P):
<ul class="wp-block-list">
<li>This represents the size of your model. For instance, if you’re working with a LLaMA model that has 70 billion parameters (70B), this value would be 70 billion.</li>
</ul>
Bytes per Parameter (4B):
<ul class="wp-block-list">
<li>Each parameter typically requires 4 bytes of memory. This is because floating-point precision usually occupies 4 bytes (32 bits). However, if you’re using half-precision (16 bits), the calculation will adjust accordingly.</li>
</ul>
Bits per Parameter (Q):
<ul class="wp-block-list">
<li>Depending on whether you’re loading the model in 16-bit or 32-bit precision, this value will change. 16-bit precision is common in many LLM deployments as it reduces memory usage while maintaining sufficient accuracy.</li>
</ul>
Overhead (1.2):
<ul class="wp-block-list">
<li>The 1.2 multiplier adds a 20% overhead to account for additional memory used during inference. This isn’t just a safety buffer; it’s crucial for covering memory required for activations and other intermediate results during model execution.</li>
</ul>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:590/1*EbYXKe53CxQvwKsdWuIc_g.png" alt="" />
<figcaption class="wp-element-caption">How to optimize memory usage for LLM deployment?</figcaption>
</figure>
<h1 id="77d2" class="wp-block-heading">Example Calculation</h1>
Let’s consider you want to estimate the memory required to serve a LLaMA model with 70 billion parameters, loaded in 16-bit precision:
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:470/1*2WhmTgdMj9F3IBC8LpMhCw.png" alt="" /></figure>
This simplifies to:
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:566/1*_28mbeo2j2yZb8Hx-qkkzQ.png" alt="" /></figure>
This calculation tells you that you would need approximately 168 GB of GPU memory to serve the LLaMA model with 70 billion parameters in 16-bit mode.
<h1 id="2b1a" class="wp-block-heading">Practical Implications</h1>
Understanding and applying this formula is not just theoretical; it has real-world implications. For instance, a single NVIDIA A100 GPU with 80 GB of memory wouldn’t be sufficient to serve this model. You would need at least two A100 GPUs with 80 GB each to handle the memory load efficiently.
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:590/1*xqUPDjj4XOxBmlcfkOFZFg.png" alt="" />
<figcaption class="wp-element-caption">How many GPUs you need to server LLaMA model</figcaption>
</figure>
By mastering this calculation, you’ll be equipped to answer this essential question in interviews, and more importantly, avoid costly hardware bottlenecks in your deployments. Next time you’re sizing up a deployment, you’ll know exactly how to estimate the GPU memory needed to serve your LLMs effectively.
The post <a href="https://starcaptions.com/how-much-gpu-memory-is-needed-to-serve-a-large-language-model-llm/">How Much GPU Memory is Needed to Serve a Large Language Model (LLM)?</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
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<title>The 6 Best LLM Tools To Run Models Locally</title>
<link>https://starcaptions.com/the-6-best-llm-tools-to-run-models-locally/</link>
<comments>https://starcaptions.com/the-6-best-llm-tools-to-run-models-locally/#respond</comments>
<dc:creator><![CDATA[arsalkiweb.online]]></dc:creator>
<pubDate>Mon, 21 Oct 2024 14:50:19 +0000</pubDate>
<category><![CDATA[Blog]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=600</guid>
<description><![CDATA[Running large language models (LLMs) like ChatGPT and Claude usually involves sending data to servers managed by OpenAI and other AI model providers. While these services are secure, some businesses prefer to keep their data entirely offline for greater privacy. This article covers the top six tools developers can use to run and test LLMs locally, ensuring their data never leaves ... <a title="The 6 Best LLM Tools To Run Models Locally" class="read-more" href="https://starcaptions.com/the-6-best-llm-tools-to-run-models-locally/" aria-label="Read more about The 6 Best LLM Tools To Run Models Locally">Read more</a>
The post <a href="https://starcaptions.com/the-6-best-llm-tools-to-run-models-locally/">The 6 Best LLM Tools To Run Models Locally</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></description>
<content:encoded><![CDATA[
Running large language models (LLMs) like <a href="https://openai.com/chatgpt/mac/" rel="noreferrer noopener" target="_blank">ChatGPT</a> and <a href="https://claude.ai/" rel="noreferrer noopener" target="_blank">Claude</a> usually involves sending data to servers managed by <a href="https://openai.com/" rel="noreferrer noopener" target="_blank">OpenAI</a> and other AI model providers. While these services are secure, some businesses prefer to keep their data entirely offline for greater privacy.
This article covers the top six tools developers can use to run and test LLMs locally, ensuring their data never leaves their devices, similar to how <a href="https://getstream.io/blog/end-to-end-encryption/" rel="noreferrer noopener" target="_blank">end-to-end encryption</a> protects privacy.
<h1 class="wp-block-heading" id="be4d">Why Use Local LLMs?</h1>
A tool like <a href="https://lmstudio.ai/" rel="noreferrer noopener" target="_blank">LM Studio</a> does not collect user data or track users’ actions when they use it to run local LLMs. It lets all your chat data stay on your local machine without sharing with an AI/ML server.
<ul class="wp-block-list">
<li>Privacy: You can prompt local LLMs in a multi-turn manner without your prompt data leaving your localhost.</li>
<li>Customization Options: Local LLMs provide advanced configurations for CPU threads, temperature, context length, GPU settings, and more. This is similar to OpenAI’s playground.</li>
<li>Support and Security: They provide similar support and security as OpenAI or Claude.</li>
<li>Subscription and Cost: These tools are free to use and they do not require monthly subscription. For cloud services like OpenAI, each API request requires payment. Local LLMs help to save money since there are no monthly subscriptions.</li>
<li>Offline Support: You can load and connect with large language models while offline.</li>
<li>Connectivity: Sometimes, connecting to a cloud service like OpenAI may result in poor signal and connection.</li>
</ul>
<h1 class="wp-block-heading" id="ba5e">Top Six and Free Local LLM Tools</h1>
Depending on your specific use case, there are several offline LLM applications you can choose. Some of these tools are completely free for personal and commercial use. Others may require sending them a request for business use. There are several local LLM tools available for Mac, Windows, and Linux. The following are the six best tools you can pick from.
<h1 class="wp-block-heading" id="4780">1. LM Studio</h1>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*svbQPZKu08of7Kv6" alt=""/></figure>
<a href="https://lmstudio.ai/" rel="noreferrer noopener" target="_blank">LM Studio</a> can run any model file with the format <code>gguf</code>. It supports <code>gguf</code> files from model providers such as <a href="https://llama.meta.com/" rel="noreferrer noopener" target="_blank">Llama 3.1</a>, <a href="https://huggingface.co/docs/transformers/main/en/model_doc/phi3" rel="noreferrer noopener" target="_blank">Phi 3</a>, <a href="https://mistral.ai/" rel="noreferrer noopener" target="_blank">Mistral</a>, and <a href="https://ai.google.dev/gemma" rel="noreferrer noopener" target="_blank">Gemma</a>. To use LM Studio, visit the link above and download the app for your machine. Once you launch LM Studio, the homepage presents top LLMs to download and test. There is also a search bar to filter and download specific models from different AI providers.
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*sbS3VqiLgDsftgs2" alt=""/></figure>
Searching for a model from a specific company presents several models, ranging from small to large <a href="https://huggingface.co/docs/optimum/en/concept_guides/quantization" rel="noreferrer noopener" target="_blank">quantization</a>. Depending on your machine, LM Studio uses a compatibility guess to highlight the model that will work on that machine or platform.
<h1 class="wp-block-heading" id="9548">Key Features of LM Studio</h1>
LM Studio provides similar functionalities and features as ChatGPT. It has several functions. The following highlights the key features of LM Studio.
<ul class="wp-block-list">
<li>Model Parameters Customization: This allows you to adjust temperature, maximum tokens, frequency penalty, and more.</li>
<li>Chat History: Allows you to save prompts for later use. Parameters and UI Hinting: You can hover on info buttons to lookup model parameters and terms.</li>
<li>Cross-platform: LM Studio is available on Linux, Mac, and Windows operating systems.</li>
<li>Machine Specification Check: LM studio checks computer specifications like GPU and memory and reports on compatible models. This prevents downloading a model that might not work on a specific machine.</li>
<li>AI Chat and Playground: Chat with a large language model in a multi-turn chat format and experiment with multiple LLMs by loading them concurrently.</li>
<li>Local Inference Server for Developers: Allows developers to set up a local HTTP server similar to OpenAI’s API.</li>
</ul>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*9bHmRiOSf6gm-u3P" alt=""/></figure>
The local server provides sample Curl and Python client requests. This feature helps to build an AI application using LM Studio to access a particular LLM.
<pre class="wp-block-preformatted"># Example: reuse your existing OpenAI setup from openai import OpenAI # Point to the local server client = OpenAI(base_url="http://localhost:1234/v1", api_key="lm-studio") completion = client.chat.completions.create( model="TheBloke/Mistral-7B-Instruct-v0.1-GGUF", messages=[ {"role": "system", "content": "Always answer in rhymes."}, {"role": "user", "content": "Introduce yourself."} ], temperature=0.7, ) print(completion.choices[0].message)</pre>
With the above sample Python code, you can reuse an existing OpenAI configuration and modify the base url to point to your localhost.
<ul class="wp-block-list">
<li>OpenAI’s Python Library Import: LM Studio allows developers to import the OpenAI Python library and point the base URL to a local server (localhost).</li>
<li>Multi-model Session: Use a single prompt and select multiple models to evaluate.</li>
</ul>
<h1 class="wp-block-heading" id="058f">Benefits of Using LM Studio</h1>
This tool is free for personal use and it allows developers to run LLMs through an in-app chat UI and playground. It provides a gorgeous and easy to use interface with filters and supports connecting to OpenAI’s Python library without the need for an API key. Companies and businesses can use LM studio on request. However it requires a M1/M2/M3 Mac or higher, or a Windows PC with a processor that supports <a href="https://edc.intel.com/content/www/us/en/design/ipla/software-development-platforms/client/platforms/alder-lake-desktop/12th-generation-intel-core-processors-datasheet-volume-1-of-2/009/intel-advanced-vector-extensions-2-intel-avx2/" rel="noreferrer noopener" target="_blank">AVX2</a>. Intel and <a href="https://www.amd.com/en/support/download/drivers.html" rel="noreferrer noopener" target="_blank">AMD</a> users are limited to using the <a href="https://lmstudio.ai/" rel="noreferrer noopener" target="_blank">Vulkan inference engine in v0.2.31</a>.
<h1 class="wp-block-heading" id="3f19">2. Jan</h1>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*7YeH_48iFYB4lDRu" alt=""/></figure>
Think of <a href="https://jan.ai/" rel="noreferrer noopener" target="_blank">Jan</a> as an open-source version of ChatGPT designed to operate offline. It is built by a community of users with a user-owned philosophy. Jan allows you to run popular models like <a href="https://huggingface.co/models?other=mistral" rel="noreferrer noopener" target="_blank">Mistral</a> or <a href="https://huggingface.co/models?other=llama" rel="noreferrer noopener" target="_blank">Llama</a> on your device without connecting it to the internet. With Jan, you can access remote APIs like OpenAI and <a href="https://groq.com/" rel="noreferrer noopener" target="_blank">Groq</a>.
<h1 class="wp-block-heading" id="3dfe">Key Features of Jan</h1>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*ufyOE6QkcHw8X5U7" alt=""/></figure>
Jan is an electron app with features similar to LM Studio. It makes AI open and accessible to all by turning consumer machines into AI computers. Since it is an open source project, developers can contribute to it and extend its functionalities. The following breaksdown the major features of Jan.
<ul class="wp-block-list">
<li>Local: You can run your preferred AI models on devices without connecting them to the internet.</li>
<li>Ready to Use Models: After downloading Jan, you get a set of already installed models to start. There is also a possibility to search for specific models.</li>
<li>Model Import: It supports importing models from sources like Hugging Face.</li>
<li>Free, Cross-Platform and Open Source: Jan is 100% free, open source, and works on Mac, Windows, and Linux.</li>
<li>Customize Inference Parameters: Adjust model parameters such as Maximum token, temperature, stream, frequency penalty, and more. All preferences, model usage, and settings stay locally on your computer.</li>
<li>Extensions: Jan supports extensions like <a href="https://github.com/NVIDIA/TensorRT" target="_blank" rel="noreferrer noopener">TensortRT</a> and <a href="https://huggingface.co/jan-hq/nitro-v1.2-e3" target="_blank" rel="noreferrer noopener">Inference Nitro</a> for customizing and enhancing your AI models.</li>
</ul>
<h1 class="wp-block-heading" id="9490">Benefits of Using Jan</h1>
Jan provides a clean and simple interface to interact with LLMs and it keeps all your data and processing information locally. It has over seventy large language models already installed for you to use. The availability of these ready-to-use models makes it easy to connect and interact with remote APIs like OpenAI and Mistral. Jan also has a great <a href="https://github.com/janhq/jan" rel="noreferrer noopener" target="_blank">GitHub</a>, <a href="https://discord.gg/FTk2MvZwJH" rel="noreferrer noopener" target="_blank">Discord</a>, and <a href="https://huggingface.co/janhq" rel="noreferrer noopener" target="_blank">Hugging Face</a> communities to follow and ask for help. However, like all the LLM tools, the models work faster on Apple Silicon Macs than on Intel ones.
<h1 class="wp-block-heading" id="9014">3. Llamafile</h1>
<a href="https://github.com/Mozilla-Ocho/llamafile" rel="noreferrer noopener" target="_blank">Llamafile</a> is backed by <a href="https://www.mozilla.org/en-US/?v=1" rel="noreferrer noopener" target="_blank">Mozilla</a> whose aim is to support and make open source AI accessible to everyone using a fast <a href="https://huggingface.co/docs/transformers/en/perf_infer_cpu" rel="noreferrer noopener" target="_blank">CPU inference</a> with no network access. It converts LLMs into multi-platform <a href="https://gist.github.com/x0nu11byt3/bcb35c3de461e5fb66173071a2379779" rel="noreferrer noopener" target="_blank">Executable Linkable Format</a> (ELF). It provides one of the best options to <a href="https://getstream.io/chat/solutions/ai-integration/" rel="noreferrer noopener" target="_blank">integrate AI</a> into applications by allowing you to run LLMs with just a single executable file.
<h1 class="wp-block-heading" id="cf14">How Llamafile Works</h1>
It is designed to convert weights into several executable programs that require no installation to run on architectures such as Windows, MacOS, Linux, Intel, ARM, FreeBSD, and more. Under the hood, Llamafile uses <a href="https://github.com/ggerganov/llama.cpp/issues/5048" rel="noreferrer noopener" target="_blank">tinyBLAST</a> to run on OSs like Windows without requiring an SDK.
<h1 class="wp-block-heading" id="0204">Key Features of Llamafile</h1>
<ul class="wp-block-list">
<li>Executable File: Unlike other LLM tools like LM Studio and Jan, Llamafile requires only one executable file to run LLMs.</li>
<li>Use Existing Models: Llamafile supports using existing models tools like Ollama and LM Studio.</li>
<li>Access or Make Models: You can access popular LLMs from OpenAI, Mistral, Groq, and more. It also provides support for creating models from scratch.</li>
<li>Model File Conversion: You can convert the file format of many popular LLMs, for example, <code>.gguf</code> into <code>.llamafile</code> with a single command.</li>
</ul>
<code>llamafile-convert mistral-7b.gguf</code>
<h1 class="wp-block-heading" id="658c">Get Started With Llamafile</h1>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*4PV1KsCZvvVKqFll" alt=""/></figure>
To install Llamafile, head to the Huggingface website, select Models from the navigation, and search for Llamafile. You can also install your preferred <a href="https://huggingface.co/docs/optimum/en/concept_guides/quantization" rel="noreferrer noopener" target="_blank">quantized</a> version from the URL below.
<figure class="wp-block-embed"><div class="wp-block-embed__wrapper">
https://huggingface.co/Mozilla/Meta-Llama-3.1-8B-Instruct-llamafile/tree/main
</div></figure>
Note: The larger the quantization number, the better the response. As highlighted in the image above, this article uses <code>Meta-Llama-3.1-8B-Instruct.Q6_K.llamafile</code> where <code>Q6</code> represents the quantization number.
Step 1: Download Llamafile
From the link above, click any of the download buttons to get your preferred version. If you have the <a href="https://www.gnu.org/software/wget/" rel="noreferrer noopener" target="_blank">wget</a> utility installed on your machine, you can download Llamafile with the command below.
<code>wget <a href="https://huggingface.co/Mozilla/Meta-Llama-3.1-8B-Instruct-llamafile/blob/main/Meta-Llama-3.1-8B-Instruct.Q6_K.llamafile" rel="noreferrer noopener" target="_blank">https://huggingface.co/Mozilla/Meta-Llama-3.1-8B-Instruct-llamafile/blob/main/Meta-Llama-3.1-8B-Instruct.Q6_K.llamafile</a></code>
You should replace the URL with the version you like.
Step 2: Make Llamafile Executable
After downloading a particular version of Llamafile, you should make it executable using the following command by navigating to the file’s location.
<code>chmod +x Meta-Llama-3.1-8B-Instruct.Q6_K.llamafile</code>Step 3: Run Llamafile
Prepend a period and forward slash <code>./</code> to the file name to launch Llamafile.
<code>./Meta-Llama-3.1-8B-Instruct.Q6_K.llamafile</code>
The Llamafile app will now be available at <code>http://127.0.0.1:8080</code> to run your various LLMs.
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*1xrwDPTfNgmEQDTx" alt=""/></figure>
<h1 class="wp-block-heading" id="460e">Benefits of Using Llamafile</h1>
Llamafile helps to democratize AI and ML by making LLMs easily reachable to consumer CPUs. As compared to other local LLM apps like Llama.cpp, Llamafile gives the fastest prompt processing experience and better performance on gaming computers. Since it has a faster performance, it is an excellent option for summarizing long text and large documents. It runs 100% offline and privately, so users do not share their data to any AI server or API. Machine Learning communities like Hugging Face supports the Llamafile format, making it easy to search for Llamafile related models. It also has a great open source community that develops and extends it further.
<h1 class="wp-block-heading" id="1f12">4. GPT4ALL</h1>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*j3vNWWQZCVF5woo5" alt=""/></figure>
GPT4ALL is built upon privacy, security, and no internet-required principles. Users can <a href="https://www.nomic.ai/gpt4all" rel="noreferrer noopener" target="_blank">install</a> it on Mac, Windows, and Ubuntu. Compared to Jan or LM Studio, GPT4ALL has more monthly downloads, <a href="https://github.com/nomic-ai/gpt4all" rel="noreferrer noopener" target="_blank">GitHub Stars</a>, and active users.
<h1 class="wp-block-heading" id="c8c1">Key Features of GPT4ALL</h1>
GPT4All can run LLMs on major consumer hardware such as Mac M-Series chips, AMD and NVIDIA GPUs. The following are its key features.
<ul class="wp-block-list">
<li>Privacy First: Keep private and sensitive chat information and prompts only on your machine.</li>
<li>No Internet Required: It works completely offline.</li>
<li>Models Exploration: This feature allows developers to browse and download different kinds of LLMs to experiment with. You can select about 1000 open-source language models from popular options like LLama, Mistral, and more.</li>
<li>Local Documents: You can let your local LLM access your sensitive data with local documents like <code>.pdf</code> and <code>.txt</code> without data leaving your device and without a network.</li>
<li>Customization options: It provides several <a href="https://getstream.io/blog/llm-chatbot-docs/" target="_blank" rel="noreferrer noopener">chatbot</a> adjustment options like temperature, batch size, context length, etc.</li>
<li>Enterprise Edition: GPT4ALL provides an enterprise package with security, support, and per-device licenses to bring local AI to businesses.</li>
</ul>
<h1 class="wp-block-heading" id="eff8">Get Started With GPT4All</h1>
To start using GPT4All to run LLMs locally, <a href="https://www.nomic.ai/gpt4all" rel="noreferrer noopener" target="_blank">Download</a> the required version for your operating system.
<h1 class="wp-block-heading" id="1e74">Benefits of Using GPT4ALL</h1>
With the exception of Ollama, GPT4ALL has the most significant number of GitHub contributors and about 250000 monthly active users (according to <a href="https://www.nomic.ai/gpt4all" rel="noreferrer noopener" target="_blank">https://www.nomic.ai/gpt4all</a>) and compared to its competitors. The app collects anonymous user data about usage analytics and chat sharing. However, users have the options to opt in or out. Using GPT4ALL, developers benefit from its large user base, GitHub, and Discord communities.
<h1 class="wp-block-heading" id="c673">5. Ollama</h1>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*STAonWgWIsY6cgDR" alt=""/></figure>
Using <a href="https://ollama.com/" rel="noreferrer noopener" target="_blank">Ollama</a>, you can easily create local chatbots without connecting to an API like OpenAI. Since everything runs locally, you do not need to pay for any subscription or API calls.
<h1 class="wp-block-heading" id="6890">Key Features of Ollama</h1>
<ul class="wp-block-list">
<li>Model Customization: Ollama allows you to convert <code>.gguf</code> model files and run them with <code>ollama run modelname</code>.</li>
<li>Model Library: Ollama has a large collection of models to try at <a href="https://ollama.com/library" target="_blank" rel="noreferrer noopener">ollama.com/library</a>.</li>
<li>Import Models: Ollama supports importing models from <a href="https://pytorch.org/" target="_blank" rel="noreferrer noopener">PyTorch</a>.</li>
<li>Community Integrations: Ollama integrates seamlessly into web and desktop applications like, <a href="https://github.com/kghandour/Ollama-SwiftUI" target="_blank" rel="noreferrer noopener">Ollama-SwiftUI</a>, <a href="https://github.com/rtcfirefly/ollama-ui" target="_blank" rel="noreferrer noopener">HTML UI</a>, <a href="https://github.com/rtcfirefly/ollama-ui" target="_blank" rel="noreferrer noopener">Dify.ai</a>, and <a href="https://github.com/ollama/ollama?tab=readme-ov-file#community-integrations" target="_blank" rel="noreferrer noopener">more</a>.</li>
<li>Database Connection: Ollama supports several <a href="https://github.com/mindsdb/mindsdb/blob/main/mindsdb/integrations/handlers/ollama_handler/README.md" target="_blank" rel="noreferrer noopener">data platforms</a>.</li>
<li>Mobile Integration: A SwiftUI app like <a href="https://github.com/AugustDev/enchanted" target="_blank" rel="noreferrer noopener">Enchanted</a> brings Ollama to iOS, macOS, and visionOS. <a href="https://github.com/Mobile-Artificial-Intelligence/maid" target="_blank" rel="noreferrer noopener">Maid</a> is also a cross-platform Flutter app that interfaces with <code>.gguf</code>model files locally.</li>
</ul>
<h1 class="wp-block-heading" id="b950">Get Started With Ollama</h1>
To use Ollama for the first time, visit <a href="https://ollama.com/" rel="noreferrer noopener" target="_blank">https://ollama.com</a> and download the version for your machine. You can install it on Mac, Linux, or Windows. Once you install Ollama, you can check its detailed information in Terminal with the following command.
<code>ollama</code>
To run a particular LLM, you should download it with:
<code>ollama pull modelname</code>, where <code>modelname</code> is the name of the model you want to install. Checkout Ollama on <a href="https://github.com/ollama/ollama" rel="noreferrer noopener" target="_blank">GitHub</a> for some example models to download. The <code>pull</code> command is also used for updating a model. Once it is used, only the difference will be fetched.
After downloading for example, <code>llama3.1</code>, running <code>ollama run llama3.1</code> in the command line launches the model.
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/1*aglZm6h0BU6GAYkSl04XWA.gif" alt=""/><figcaption class="wp-element-caption">Ollama</figcaption></figure>
In the above example, we prompt the <code>llama3.1</code> model to solve a Physics work and energy question.
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*dNNQYpz1s2tz1pcn" alt=""/></figure>
<h1 class="wp-block-heading" id="b82a">Benefits of Using Ollama</h1>
Ollama has over 200 contributors on GitHub with active updates. It has the largest number of contributors and is more extendable among the other open-source LLM tools discussed above.
<h1 class="wp-block-heading" id="61bd">6. LLaMa.cpp</h1>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/0*KhsAUquhDZAHghxK" alt=""/></figure>
<a href="https://github.com/ggerganov/llama.cpp" rel="noreferrer noopener" target="_blank">LLaMa.cpp</a> is the underlying backend technology (inference engine) that powers local LLM tools like Ollama and many others. Llama.cpp supports significant large language model inferences with minimal configuration and excellent local performance on various hardware. It can also run in the cloud.
<h1 class="wp-block-heading" id="e045">Key Features of LLaMa.cpp</h1>
<ul class="wp-block-list">
<li>Setup: It has a minimal setup. You install it with a single command.</li>
<li>Performance: It performs very well on various hardware locally and in the cloud.</li>
<li>Supported Models: It supports popular and major LLMs like <a href="https://huggingface.co/mistralai/Mistral-7B-v0.1" target="_blank" rel="noreferrer noopener">Mistral 7B</a>, <a href="https://huggingface.co/models?search=mistral-ai%2FMixtral" target="_blank" rel="noreferrer noopener">Mixtral MoE</a>, <a href="https://huggingface.co/databricks/dbrx-instruct" target="_blank" rel="noreferrer noopener">DBRX</a>, <a href="https://huggingface.co/models?search=tiiuae%2Ffalcon" target="_blank" rel="noreferrer noopener">Falcon</a>, and <a href="https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#description" target="_blank" rel="noreferrer noopener">many others</a>.</li>
<li>Frontend AI Tools: LLaMa.cpp supports open-source LLM UI tools like <a href="https://github.com/MindWorkAI/AI-Studio" target="_blank" rel="noreferrer noopener">MindWorkAI/AI-Studio</a> (FSL-1.1-MIT), <a href="https://github.com/iohub/coLLaMA" target="_blank" rel="noreferrer noopener">iohub/collama</a>, etc.</li>
</ul>
<h1 class="wp-block-heading" id="1c99">Get Started With LLaMa.cpp</h1>
To run your first local large language model with llama.cpp, you should install it with:
<code>brew install llama.cpp</code>
Next, download the model you want to run from Hugging Face or any other source. For example, download the model below from Hugging Face and save it somewhere on your machine.
<figure class="wp-block-embed"><div class="wp-block-embed__wrapper">
https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF/resolve/main/Mistral-7B-Instruct-v0.3.Q4_K_M.gguf
</div></figure>
Using your preferred command line tool like Terminal, <code>cd</code> into the location of the <code>.gguf</code> model file you just downloaded and run the following commands.
<pre class="wp-block-preformatted">llama-cli --color \ -m Mistral-7B-Instruct-v0.3.Q4_K_M.ggufb \ -p "Write a short intro about SwiftUI"</pre>
In summary, you first invoke the LLaMa CLI tool and set color and other flags. The <code>-m</code> flag specifies the path of the model you want to use. The <code>-p</code> flag specifies the prompt you wish to use to instruct the model.
After running the above command, you will see the result in the following preview.
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:700/1*4Al-j50vXUXLUfvxzBt6aw.gif" alt=""/><figcaption class="wp-element-caption">LLaMa.cpp</figcaption></figure>
<h1 class="wp-block-heading" id="f3da">Local LLMs Use Cases</h1>
Running LLMs locally can help developers who want to understand their performance and how they work in detail. Local LLMs can query private documents and technical papers so that information about these documents does not leave the devices used to query them to any cloud AI APIs. Local LLMs are useful in no-internet locations and places where network reception is poor.
In a <a href="https://getstream.io/blog/telemedicine-app-development/" rel="noreferrer noopener" target="_blank">telehealth setting</a>, local LLMs can sort patient documents without having to upload them to any AI API provider due to privacy concerns.
<h1 class="wp-block-heading" id="7b0d">Evaluating LLMs’ Performance To Run Locally</h1>
Knowing the performance of a large language model before using it locally is essential for getting the required responses. There are several ways you can determine the performance of a particular LLM. Here are a few ways.
<ul class="wp-block-list">
<li>Training: What dataset is the model trained on?</li>
<li>Fine-tuning: To what extent can the model be customized to perform a specialized task or can it be fine-tuned to for a specific domain?.</li>
<li>Academic Research: Does the LLM have an academic research paper?</li>
</ul>
To answer the above questions, you can check excellent resources like <a href="https://huggingface.co/datasets" rel="noreferrer noopener" target="_blank">Hugging Face</a> and <a href="https://arxiv.org/" rel="noreferrer noopener" target="_blank">Arxiv.org</a>. Also, <a href="https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard" rel="noreferrer noopener" target="_blank">Open LLm Leaderboard</a> and <a href="https://chat.lmsys.org/?arena=" rel="noreferrer noopener" target="_blank">LMSYS Chatbot Arena</a> provide detailed information and benchmarks for varieties of LLMs.
The post <a href="https://starcaptions.com/the-6-best-llm-tools-to-run-models-locally/">The 6 Best LLM Tools To Run Models Locally</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
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<title>5 Levels Of AI Agents (Updated)</title>
<link>https://starcaptions.com/5-levels-of-ai-agents-updated/</link>
<comments>https://starcaptions.com/5-levels-of-ai-agents-updated/#respond</comments>
<dc:creator><![CDATA[arsalkiweb.online]]></dc:creator>
<pubDate>Mon, 21 Oct 2024 14:48:35 +0000</pubDate>
<category><![CDATA[Blog]]></category>
<guid isPermaLink="false">https://starcaptions.com/?p=597</guid>
<description><![CDATA[𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 are AI systems capable of performing a series of complex tasks independently to achieve a goal. The phrases AI Agents, Autonomous Agents, Agentic Application, or what I refer to as Agentic X are all terms which are used interchangeably. Some Background I love the example from Agile’s rise in organisations, where project ... <a title="5 Levels Of AI Agents (Updated)" class="read-more" href="https://starcaptions.com/5-levels-of-ai-agents-updated/" aria-label="Read more about 5 Levels Of AI Agents (Updated)">Read more</a>
The post <a href="https://starcaptions.com/5-levels-of-ai-agents-updated/">5 Levels Of AI Agents (Updated)</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
]]></description>
<content:encoded><![CDATA[
<h2 class="wp-block-heading" id="d85f">𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 are AI systems capable of performing a series of complex tasks independently to achieve a goal.</h2>
The phrases AI Agents, Autonomous Agents, Agentic Application, or what I refer to as Agentic X are all terms which are used interchangeably.
<h1 class="wp-block-heading" id="fd81">Some Background</h1>
I love the example from Agile’s rise in organisations, where project managers evolved into Scrum Masters, adapting to iterative development cycles.
Similarly, Conversational AI has transformed, shifting from basic chatbot frameworks to advanced prompt-engineering tools, and now into comprehensive AI Agent builders.
Understanding the components of an agentic framework is crucial in leveraging these advancements effectively.
In this article, I use the terms RPA, chaining, prompt chaining, and chatbot dialog flows interchangeably, as they all refer to a similar approach of using predefined, sequential nodes to guide processes.
<h1 class="wp-block-heading" id="b74b">What are Agents? In Short…</h1>
<ul class="wp-block-list">
<li>Agentic applications leverage one or more Language Model as their core foundation or backbone, dynamically generating responses and actions.</li>
<li>These applications manage states and transitions while constructing event chains in real-time to address specific user queries, providing adaptive solutions.</li>
<li>Agents excel at handling ambiguous or implicit questions, breaking them into sequential sub-steps and iteratively processing through cycles of action, observation, and reflection until reaching a final resolution.</li>
<li>Latency and cost management are critical for conversational implementations, balancing responsiveness with resource efficiency. Latency can be problematic with Agentic implementations.</li>
<li>Inspectability and observability are essential for production implementations, with robust mechanisms developed to reveal the states and pathways traversed by agents, ensuring transparency.</li>
<li>To accomplish tasks, agents have access to diverse tools, each equipped with a clear purpose — whether it’s making API calls, conducting calculations, or searching the web.</li>
<li>Human-in-the-Loop (HITL) can serve as an auxiliary tool, enabling agents to seek human input when needed, expanding their operational capabilities.</li>
<li>New agent tools can be seamlessly integrated to extend capabilities, allowing for continuous adaptation and enhancement of autonomous agent functions.</li>
<li>Agents possess true autonomy, making decisions and performing actions independently, requiring minimal human supervision. Levels of autonomy are set by the number of iterations an AI Agent can cycle through, in order to reach a conclusion; and the number of tools at its disposal.</li>
<li>With advanced flexibility, agents dynamically select and sequence tools based on situational needs, employing reasoning and adaptive strategies to solve complex tasks as they arise.</li>
</ul>
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:1000/1*7viPWMwDO6nBhZzXnkL3_w.png" alt=""/></figure>
<h1 class="wp-block-heading" id="1dd8">22 Key Differences Between AI Agents & Traditional Chaining/RPA</h1>
Below is an in-depth comparison of how AI Agents stand apart from traditional chaining and Robotic Process Automation (RPA) methods based on the criteria shown…
<figure class="wp-block-image"><img decoding="async" src="https://miro.medium.com/v2/resize:fit:1000/1*ByFr9vYTmIGdvtnNe5U_bg.png" alt=""/></figure>
<h2 class="wp-block-heading" id="503f">1. Flexibility, Autonomy, Reasoning</h2>
AI Agents: Exhibit high flexibility and autonomy, capable of complex reasoning and decision-making based on context. They can adapt to unforeseen situations, respond to changing data, and make real-time adjustments.
Chaining/RPA: Typically follow predefined rules and sequences with limited flexibility. They execute tasks as they were programmed without deviation, making them less adaptable to changes in their environment.
<h2 class="wp-block-heading" id="d6eb">2. Granular State-Based</h2>
AI Agents: Operate with a granular, state-based approach, maintaining an internal and dynamic state and understanding of the environment. This allows them to track changes over time and adjust their actions accordingly.
Chaining/RPA: Generally lack granular state awareness and operate on fixed workflows. They are less adept at handling complex or evolving tasks that require contextual awareness.
<h2 class="wp-block-heading" id="09c5">3. RPA Approach</h2>
AI Agents: Use machine learning and natural language processing to make decisions dynamically, going beyond rule-based automation.
Chaining/RPA: Rely heavily on traditional automation techniques, such as screen scraping and hardcoded rules, which are inflexible and require significant reconfiguration for any changes.
<h2 class="wp-block-heading" id="5c2e">4.Human-in-the-Loop (HITL)</h2>
AI Agents: Often incorporate HITL for complex tasks or when encountering uncertain situations, allowing human intervention to guide the process or provide feedback.
Chaining/RPA: May involve humans for exception handling, but usually this is not a built-in feature. HITL is less integrated compared to AI agents. Tradition chatbots/chaining usually follow method of a complete transfer to an agent if the chatbot does not fulfil the intent.
<h2 class="wp-block-heading" id="07c8">5. Managing Cost</h2>
AI Agents: Can be costly to deploy and maintain due to resource requirements, though their adaptability and efficiency can lead to long-term cost savings. Chaining/RPA: Often lower upfront costs, especially for simple repetitive tasks, but can become expensive if frequent updates and maintenance are needed.
<h2 class="wp-block-heading" id="4e39">6. Optimising Latency</h2>
AI Agents: Utilise optimisation strategies to minimise latency, often by prefetching data, parallel processing, or making real-time adjustments. But latency is often hard to improve for reasoning and decomposition tasks. Chaining/RPA: May experience latency due to rigid workflows and sequential processing, with limited real-time optimisation. However, in general easier to optimise.
<h2 class="wp-block-heading" id="b121">7. LLM-Generated Action Sequence</h2>
AI Agents: Use Language Models to generate action sequences dynamically, enabling them to handle complex, multi-step tasks based on evolving context. Chaining/RPA: Action sequences are predefined and do not benefit from LLM-driven flexibility, limiting their ability to handle nuanced or conversational tasks.
<h2 class="wp-block-heading" id="0c71">8. Seamless Tool Integration</h2>
AI Agents: Often integrate various tools and services seamlessly, including APIs, databases, and external resources, to enhance functionality dynamically. Chaining/RPA: Integration is typically more rigid, requiring manual configuration and less dynamic adaptation to new tools or services.
<h2 class="wp-block-heading" id="3a9f">9. Explainability / Observability / Inspectability</h2>
AI Agents: Often include features for explainability and observability, providing insights into decision-making processes, which is critical for trust and compliance. But in most cases this aspect lacks. Chaining/RPA: The sequence of events are set for different workflows.
<h2 class="wp-block-heading" id="f6c5">10. Design Canvas Approach</h2>
AI Agents: Often rely on traditional programming environments with less focus on visual workflow design, making complex task configuration more challenging. Chaining/RPA: May use design canvases for configuring complex workflows, often visually represented, allowing for intuitive adjustments and reconfiguration.
<h2 class="wp-block-heading" id="73b4">11. Conversational Oriented</h2>
AI Agents: Can engage in conversational tasks, using natural language understanding to interact with users effectively. Chaining/RPA: Generally designed for conversational interfaces (considering traditional chatbot frameworks), though they can interact with simple text-based inputs.
<h2 class="wp-block-heading" id="b1c7">12. Adaptive Learning Capabilities</h2>
AI Agents: can learn from new data and experiences over time, allowing them to improve autonomously, unlike traditional RPA which relies on pre-set rules and lacks learning capabilities.
<h2 class="wp-block-heading" id="4659">13. Contextual Awareness</h2>
AI Agents have the ability to understand and adapt to the context of interactions, which enhances decision-making and response accuracy. RPA, chatbot flows, on the other hand, operates in a static, predefined context.
<h2 class="wp-block-heading" id="3216">14. Dynamic Task Decomposition</h2>
AI Agents can break down complex tasks into smaller, manageable subtasks dynamically and adjust these based on real-time feedback. RPA/Chatbots/Prompt Chaining typically follows a linear, fixed sequence of tasks.
<h2 class="wp-block-heading" id="0887">15. Real-Time Decision Making</h2>
AI Agents can make decisions on-the-fly based on live data, whereas RPA follows a preset decision-making process based on pre-programmed logic.
<h2 class="wp-block-heading" id="f337">16. Unstructured Data Handling</h2>
AI Agents are capable of understanding and processing unstructured data, like natural language and images, through AI models, while RPA and workflows usually work with structured data which is well defined and classified.
<h2 class="wp-block-heading" id="00b6">17. Goal-Oriented Behaviour</h2>
AI Agents work towards high-level objectives and can modify their approach as needed, whereas Chaining scripts are designed to achieve specific tasks without overarching goals.
<h2 class="wp-block-heading" id="477c">18. Scalability in Diverse Environments</h2>
AI Agents can be deployed in a wide range of environments and scale easily with minimal configuration changes, while RPA/workflows solutions may require significant customisation to adapt to different platforms or systems.
<h2 class="wp-block-heading" id="8d38">19. Proactive Engagement</h2>
AI Agents can initiate actions and engage proactively based on user behaviours or external triggers. RPA/workflows/chains are more reactive, executing tasks only when prompted by a specific event.
<h2 class="wp-block-heading" id="0ee4">20. Tool Interoperability and API Flexibility</h2>
AI Agents are often designed to work seamlessly with a variety of tools and APIs, adapting as needed, whereas RPA/chains/workflows/chatbot solutions are generally more rigid and specific to certain tools or systems.
<h2 class="wp-block-heading" id="4307">21. No Low-Code IDEs</h2>
AI Agents: development environments are typically more pro-code at this stage. Where RPA/Workflows/chaining/Chatbots are more established in their no-code design canvas approach to building.
<h2 class="wp-block-heading" id="0b56">22. Dynamic Adaptability to Unseen Scenarios</h2>
AI Agents: Can adapt to new and unseen scenarios by leveraging machine learning and contextual understanding, which allows them to make decisions even in cases they have not explicitly been trained for. This makes them highly adaptable to changing environments or unexpected user inputs.
Chaining/RPA: Typically struggle with scenarios outside their predefined scripts or rules. They operate based on specific sequences and can fail or require manual intervention when faced with unexpected situations or edge cases they were not designed to handle.
The post <a href="https://starcaptions.com/5-levels-of-ai-agents-updated/">5 Levels Of AI Agents (Updated)</a> appeared first on <a href="https://starcaptions.com">StarCaptions.Com</a>.
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