A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

• UpdatedJul 18, 2025
• Python

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.

• UpdatedJul 17, 2025
• Go

Production-ready platform for agentic workflow development.

• UpdatedJul 18, 2025
• TypeScript

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

• UpdatedJul 18, 2025
• JavaScript

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

• UpdatedJul 18, 2025
• Python

🙌 OpenHands: Code Less, Make More

• UpdatedJul 18, 2025
• Python

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

• UpdatedJul 18, 2025
• Python

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

• UpdatedJul 16, 2025
• Jupyter Notebook

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

• UpdatedJun 4, 2025

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

• UpdatedJun 30, 2025
• Python

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

• UpdatedJul 18, 2025
• Python

A high-throughput and memory-efficient inference and serving engine for LLMs

• UpdatedJul 18, 2025
• Python

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

• UpdatedJul 18, 2025
• JavaScript

LlamaIndex is the leading framework for building LLM-powered agents over your data.

• UpdatedJul 18, 2025
• Python

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

• UpdatedJul 18, 2025
• TypeScript

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.

• UpdatedJul 18, 2025
• Python

🤱🏻 Turn any webpage into a desktop app with Rust. 🤱🏻 利用 Rust 轻松构建轻量级多端桌面应用

• UpdatedMar 25, 2025
• Rust

基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择ChatGPT/Claude/DeepSeek/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

• UpdatedJun 29, 2025
• Python

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

• UpdatedJul 9, 2025
• Python

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• UpdatedJul 18, 2025
• Python