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Latest AI tool releases, research breakthroughs, and industry news.
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Best practices for deploying language models
Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.
Teaching models to express their uncertainty in words
Powering next generation applications with OpenAI Codex
Codex is now powering 70 different applications across a variety of use cases through the OpenAI API.
DALL·E 2 research preview update
Early users have created over 3 million images to date and helped us improve our safety processes. We’re excited to begin adding up to 1,000 new users from our waitlist each week.
OpenAI leadership team update
We’re happy to announce several executive role changes that reflect our recent progress and will ensure continued momentum toward our next major milestones.
Hierarchical text-conditional image generation with CLIP latents
Measuring Goodhart’s law
Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to grapple with at OpenAI when figuring out how to optimize objectives that are difficult or costly to measure.
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
Economic impacts research at OpenAI
Call for expressions of interest to study the economic impacts of large language 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.
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
Introducing text and code embeddings
We are introducing embeddings, a new endpoint in the OpenAI API that makes it easy to perform natural language and code tasks like semantic search, clustering, topic modeling, and classification.
Text and code embeddings by contrastive pre-training
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.
Customizing GPT-3 for your application
Fine-tune with a single command.
OpenAI Residency
As part of our effort to support and develop AI talent, we’re excited to announce the OpenAI Residency.
OpenAI’s API now available with no waitlist
Wider availability made possible by safety progress.
Solving math word problems
We’ve trained a system that solves grade school math problems with nearly twice the accuracy of a fine-tuned GPT-3 model. It solves about 90% as many problems as real kids: a small sample of 9-12 year olds scored 60% on a test from our dataset, while our system scored 55% on those same problems.