🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

The official gpt4free repository | various collection of powerful language models

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Code and documentation to train Stanford's Alpaca models, and generate the data.

Universal LLM Deployment Engine with ML Compilation

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow

High-performance In-browser LLM Inference Engine

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Build AI-powered applications with React, Svelte, Vue, and Solid

An open source implementation of CLIP.

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

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

A PyTorch-based Speech Toolkit