AI 뉴스

Our approach to alignment research

We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.

Visualize proteins on Hugging Face Spaces

Pre-Train BERT with Hugging Face Transformers and Habana Gaudi

Stable Diffusion with 🧨 Diffusers

Deploying 🤗 ViT on Vertex AI

Deep Dive: Vision Transformers On Hugging Face Optimum Graphcore

A Gentle Introduction to 8-bit Matrix Multiplication for transformers at scale using transformers, accelerate and bitsandbytes

Hugging Face's TensorFlow Philosophy

Introducing Skops

Deploying 🤗 ViT on Kubernetes with TF Serving

New and improved content moderation tooling

We are introducing a new and improved content moderation tool. The Moderation endpoint improves upon our previous content filter, and is available for free today to OpenAI API developers.

Train and Fine-Tune Sentence Transformers Models

Proximal Policy Optimization (PPO)

Introducing the Private Hub: A New Way to Build With Machine Learning

Nyströmformer: Approximating self-attention in linear time and memory via the Nyström method

Comments on U.S. National AI Research Resource Interim Report

Efficient training of language models to fill in the middle

Introducing new audio and vision documentation in 🤗 Datasets

Faster Text Generation with TensorFlow and XLA

A hazard analysis framework for code synthesis large language models