🤗 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.
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Updated
Jun 13, 2025 - Python
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.
Production-ready platform for agentic workflow development.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
🙌 OpenHands: Code Less, Make More
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A high-throughput and memory-efficient inference and serving engine for LLMs
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
🤱🏻 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
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.
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GPT4.1/GPT-4o/GPT-o1/ DeepSeek/Claude/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。
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.