Llama

Llama

Meta
+

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About

Discover the AI Pair Programming extension for VSCode, Create your own AI Copilots with the Playground and Unleash new AI Apps with the API. Unlock the Power of Your Own AI Agents: Integrate Personalized Context and Knowledge Across all Coding Languages. Easily Train Your AI Copilot with Your Own Files on the Playground. Create and Share a Copilot in Just 5 Minutes, or Achieve Custom AI Copilot Solutions Seamlessly Through the API A always free extension for VS Code that boost coding abilities using chat assistant and code completion. Simply download the extension, add your own API key and start AI-coding for free. Enhanced solution that allows AI agents creation with specific context information, so you can design your own AI copilots and integrate it wherever you want! API connection to develop AI-powered apps effortlessly handling all the complexities of fine-tuning LLMs so you can focus on creating without the technical issues.

About

JavaScript is a scripting language and programming language for the web that enables developers to build dynamic elements on the web. Over 97% of the websites in the world use client-side JavaScript. JavaScript is one of the most important scripting languages on the web. Strings in JavaScript are contained within a pair of either single quotation marks '' or double quotation marks "". Both quotes represent Strings but be sure to choose one and STICK WITH IT. If you start with a single quote, you need to end with a single quote. There are pros and cons to using both IE single quotes tend to make it easier to write HTML within Javascript as you don’t have to escape the line with a double quote. Let’s say you’re trying to use quotation marks inside a string. You’ll need to use opposite quotation marks inside and outside of JavaScript single or double quotes.

About

Llama (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field. Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and anyone in need of an AI solution to create, generate, and modify code and query patterns

Audience

Web developers and anyone looking for a mobile solution for running and developing web content

Audience

AI developers interested in a powerful large language model

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

CodeGPT
Founded: 2023
United States
www.codegpt.co

Company Information

JavaScript
Founded: 1995
United States
javascript.com

Company Information

Meta
Founded: 2004
United States
www.llama.com

Alternatives

Alternatives

Alternatives

AssemblyScript

AssemblyScript

The AssemblyScript Project
Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
Cursor

Cursor

Anysphere
BitNet

BitNet

Microsoft
Llama 2

Llama 2

Meta

Categories

Categories

Categories

Integrations

Amazon Q Business
AppWarp
Decompute Blackbird
Eclipse Theia
Flowise
Freemius
Jasmine
Marionette
MarkupGo
Mistral NeMo
NextAuth.js
Postcoder
Queue-Fair
Qwen2.5
RunCode
SambaNova
Stripe Financial Connections
SuperCore
Wasp
trifleJS

Integrations

Amazon Q Business
AppWarp
Decompute Blackbird
Eclipse Theia
Flowise
Freemius
Jasmine
Marionette
MarkupGo
Mistral NeMo
NextAuth.js
Postcoder
Queue-Fair
Qwen2.5
RunCode
SambaNova
Stripe Financial Connections
SuperCore
Wasp
trifleJS

Integrations

Amazon Q Business
AppWarp
Decompute Blackbird
Eclipse Theia
Flowise
Freemius
Jasmine
Marionette
MarkupGo
Mistral NeMo
NextAuth.js
Postcoder
Queue-Fair
Qwen2.5
RunCode
SambaNova
Stripe Financial Connections
SuperCore
Wasp
trifleJS
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