Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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

Learn how to design, develop, deploy and iterate on production-grade ML applications.

提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Self-hosted AI coding assistant

A modular graph-based Retrieval-Augmented Generation (RAG) system

Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

An open-source RAG-based tool for chatting with your documents.

AI agent stdlib that works with any LLM and TypeScript AI SDK.

the AI-native open-source embedding database

LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.

📋 A list of open LLMs available for commercial use.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Structured Text Generation

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.