Ollama — a leading open-source project in the AI/LLM ecosystem.

LangChain — a leading open-source project in the AI/LLM ecosystem.

🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!

LlamaIndex — a leading open-source project in the AI/LLM ecosystem.

Build resilient language agents as graphs.

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.

Python scraper based on AI

A lightweight, powerful framework for multi-agent workflows

Pocket Flow: Codebase to Tutorial

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

Cybersecurity AI (CAI), the framework for AI Security

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

⚙️🦀 Build modular and scalable LLM Applications in Rust

OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

Building AI agents, atomically

Building AI agents, atomically

Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.

Low-latency AI engine for mobile devices & wearables

A visual playground for agentic workflows: Iterate over your agents 10x faster

A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

AdalFlow: The library to build & auto-optimize LLM applications.

Easiest and laziest way for building multi-agent LLMs applications.

[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

Build production-ready AI agents in both Python and Typescript.

Implementation for MatMul-free LM.

AI agent microservice

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

Awesome papers about unifying LLMs and KGs

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

NestJS Helper + AI Chatbot Development

A secure low code honeypot framework, leveraging AI for System Virtualization.

A secure low code honeypot framework, leveraging AI for System Virtualization.

Your Automatic Prompt Engineering Assistant for GenAI Applications

Deploy your agentic worfklows to production

This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥

Awesome List for Agentic RL

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.

Minimal reproduction of OneRec

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning, achieving state-of-the-art performance on 38 out of 60 public benchmarks.