GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

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

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

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

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.

Platform for building AI that can learn and answer questions over federated data.

The Memory layer for your AI apps

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Instruct-tune LLaMA on consumer hardware

Stable Diffusion with Core ML on Apple Silicon

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

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

An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

📋 A list of open LLMs available for commercial use.

Low-code framework for building custom LLMs, neural networks, and other AI models

Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

Automate browser-based workflows with LLMs and Computer Vision

Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.

Upload a photo of your room to generate your dream room with AI.

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

A collection of libraries to optimise AI model performances

Building a quick conversation-based search demo with Lepton AI.

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Easily migrate your codebase from one framework or language to another.

[ICLR 2024] Efficient Streaming Language Models with Attention Sinks

ChatGPT DAN, Jailbreaks prompt

High accuracy RAG for answering questions from scientific documents with citations

An LLM playground you can run on your laptop

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models

Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

🥷 Run AI-agents with an API

A self-organizing file system with llama 3

Access large language models from the command-line

Multi-Platform Package Manager for Stable Diffusion

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

LangChain for Go, the easiest way to write LLM-based programs in Go

[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

High-speed download of LLaMA, Facebook's 65B parameter GPT model

Adding guardrails to large language models.

LLM training code for Databricks foundation models

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

Run GPT model on the browser with WebGPU. An implementation of GPT inference in less than ~1500 lines of vanilla Javascript.

Various AI scripts. Mostly Stable Diffusion stuff.

AIOS: LLM Agent Operating System

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

Utilize the unlimited free GPT-3.5-Turbo API service provided by the login-free ChatGPT Web.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

🤖 Build voice-based LLM agents. Modular + open source.

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.