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21 Lessons, Get Started Building with Generative AI

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

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

Ongoing research training transformer models at scale

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

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.

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

A PyTorch-based Speech Toolkit

This repository contains demos I made with the Transformers library by HuggingFace.

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

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Open source real-time translation app for Android that runs locally

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

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

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

Robust recipes to align language models with human and AI preferences

Chronos: Pretrained Models for Time Series Forecasting

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

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

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

Seamlessly integrate LLMs into scikit-learn.

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

The Security Toolkit for LLM Interactions

A lightweight framework for building LLM-based agents