🦜🔗 Build context-aware reasoning applications

Interact with your documents using the power of GPT, 100% privately, no data leaks

Making large AI models cheaper, faster and more accessible

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

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

The platform for building AI from enterprise data

GPT-powered chat for documentation, chat with your documents

DSPy: The framework for programming—not prompting—foundation models

Create LLM agents with long-term memory and custom tools 📚🦙

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

An Open-source Framework for Autonomous Language Agents

Allows you easily scan for and delete scam comments using several methods.

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our ve…

Robust recipes to align language models with human and AI preferences

Convert Jupyter Notebooks to Web Apps

Find dead Python code

PyTorch original implementation of Cross-lingual Language Model Pretraining.

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

Data processing with ML and LLM

SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

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

The implementation of DeBERTa