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Hierarchical text-conditional image generation with CLIP latents

Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style. To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image embedding...

Topics: Models

Entities: Models

OpenAI News

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.

Topics: Models

Entities: Models

OpenAI News

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.

OpenAI News

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...

Topics: Models

Entities: Models

OpenAI News

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.

Topics: Models

Entities: OpenAIModelsOpenAI API

OpenAI News

OpenAI Residency

As part of our effort to support and develop AI talent, we’re excited to announce the OpenAI Residency.

Topics: Models

Entities: OpenAIModels