🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo

🧠 Your supercharged Second Brain 🧠 Your personal productivity assistant to chat with your dumped files (PDF, CSV) & apps using GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, LLMs that you can share with users ! Alternative to OpenAI GPTs

A cloud-native vector database, storage for next generation AI applications

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

MindsDB connects AI models to real time data

Get up and running with Llama 2 and other large language models locally

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

Drag & drop UI to build your customized LLM flow

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Integrate cutting-edge LLM technology quickly and easily into your apps

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

🤖 The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs ggml, gguf, GPTQ, onnx, TF compatible models: llama, llama2, rwkv, whisper, vicuna, koala, cerebras, falcon, dolly, starcoder, and many others

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

The simplest way to run LLaMA on your local machine

The open-source hub to build & deploy GPT/LLM Agents ⚡️

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

An Open-Source Assistants API and GPTs alternative. Dify.AI is an LLM application development platform. It integrates the concepts of Backend as a Service and LLMOps, covering the core tech stack required for building generative AI-native applications, including a built-in RAG engine.