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- OpenAIHierarchical text-conditional image generation with CLIP latentsCompanies: OpenAIAbstract 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 given a text caption, and a decoder that generates an image conditioned on the image embedding. We show that explicitly generating image representations
- OpenAINew GPT-3 capabilities: Edit & insertCompanies: OpenAIWe’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.
- OpenAIEconomic impacts research at OpenAICompanies: OpenAICall for expressions of interest to study the economic impacts of large language models.
- OpenAILessons learned on language model safety and misuseCompanies: OpenAIWe describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.
- OpenAIA research agenda for assessing the economic impacts of code generation modelsCompanies: OpenAIAbstract OpenAI is developing a research program to assess the economic impacts of code generation models and is inviting collaboration with external researchers. Rapid advances in the capabilities of large language models (LLMs) trained on code have made it increasingly important to study their economic impacts on individuals, firms, and society. Codex – an LLM developed by OpenAI by fine-tuning GPT‑3 on billions of
- OpenAISolving (some) formal math olympiad problemsCompanies: OpenAIWe 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.
- OpenAIAligning language models to follow instructionsCompanies: OpenAIWe’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.
- OpenAIIntroducing text and code embeddingsCompanies: OpenAIWe 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.
- OpenAIText and code embeddings by contrastive pre-trainingCompanies: OpenAIAbstract Text embeddings are useful features in many applications such as semantic search and computing text similarity. Previous work typically trains models customized for different use cases, varying in dataset choice, training objective and model architecture. In this work, we show that contrastive pre-training on unsupervised data at scale leads to high quality vector representations of text and code. The same u
- OpenAIWebGPT: Improving the factual accuracy of language models through web browsingCompanies: OpenAIWe’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.
- OpenAICustomizing GPT-3 for your applicationCompanies: OpenAIFine-tune with a single command.
- OpenAIOpenAI ResidencyCompanies: OpenAIAs part of our effort to support and develop AI talent, we’re excited to announce the OpenAI Residency.