The important moves in artificial intelligence.

Fine-Tune a Semantic Segmentation Model with a Custom Dataset

Image search with 🤗 datasets

New GPT-3 capabilities: Edit & insert

We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.

A research agenda for assessing the economic impacts of code generation models

Lessons learned on language model safety and misuse

We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.

Economic impacts research at OpenAI

Call for expressions of interest to study the economic impacts of large language models.

BERT 101 - State Of The Art NLP Model Explained

Solving (some) formal math olympiad problems

We built a neural theorem prover for Lean that learned to solve a variety of challenging high-school olympiad problems, including problems from the AMC12 and AIME competitions, as well as two problems adapted from the IMO.

Aligning language models to follow instructions

We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models on our API.

WebGPT: Improving the factual accuracy of language models through web browsing

We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.

Perceiver IO: a scalable, fully-attentional model that works on any modality

Customizing GPT-3 for your application

Fine-tune with a single command.