Hierarchical text-conditional image generation with CLIP latents
Hierarchical text-conditional image generation with CLIP latents Read More »
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.
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.
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.
Economic impacts research at OpenAI
Call for expressions of interest to study the economic impacts of large language models.
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.
WebGPT: Improving the factual accuracy of language models through web browsing Read More »
Helen Toner joins OpenAI’s board of directors
Today, we’re excited to announce the appointment of Helen Toner to our board of directors.
