Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.

A high-throughput and memory-efficient inference and serving engine for LLMs

中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3

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

Open source codebase powering the HuggingChat app

Reference implementation for DPO (Direct Preference Optimization)

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Inference code for LLaMA models

💬 Personal AI application powered by GPT-4 and beyond, with AI personas, AGI functions, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers…

AI search & chat for all of Paul Graham’s essays.

The fastai book, published as Jupyter Notebooks

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Earth observation processing framework for machine learning in Python

WALDO: Wasserstein Autoencoders for Learning the Distribution of Outliers

Incorporate new construction into maps by detecting new roads in satellite images over time

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Repository for the One class neural networks paper