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.

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

• UpdatedOct 7, 2025
• Go

🤗 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.

• UpdatedOct 7, 2025
• Python

🦜🔗 Build context-aware reasoning applications

• UpdatedOct 7, 2025
• Python

Production-ready platform for agentic workflow development.

• UpdatedOct 7, 2025
• TypeScript

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

• UpdatedOct 7, 2025
• JavaScript

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

• UpdatedOct 7, 2025
• Jupyter Notebook

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

• UpdatedOct 7, 2025
• Python

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

• UpdatedOct 3, 2025
• TypeScript

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

• UpdatedJun 4, 2025

🙌 OpenHands: Code Less, Make More

• UpdatedOct 7, 2025
• Python

The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data 🔥

• UpdatedOct 7, 2025
• TypeScript

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

• UpdatedOct 7, 2025
• Python

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

• UpdatedOct 7, 2025
• Python

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

• UpdatedOct 4, 2025
• Python

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

• UpdatedOct 7, 2025
• JavaScript

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

• UpdatedOct 5, 2025
• Python

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

• UpdatedOct 7, 2025
• Python

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

• UpdatedOct 3, 2025
• Jupyter Notebook

Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

• UpdatedOct 7, 2025
• Python

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。

• UpdatedAug 8, 2025
• Python