The important moves in artificial intelligence.

Very Large Language Models and How to Evaluate Them

How 🤗 Accelerate runs very large models thanks to PyTorch

How to train a Language Model with Megatron-LM

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.

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

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

Introducing new audio and vision documentation in 🤗 Datasets

A hazard analysis framework for code synthesis large language models

Reducing bias and improving safety in DALL·E 2

Today, we are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity of the world’s population.

How to train your model dynamically using adversarial data

DALL·E 2: Extending creativity

As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we’ve made decisions about DALL·E’s features.