Browse press releases
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- OpenAIDALL·E API now available in public betaCompanies: OpenAIStarting today, developers can begin building apps with the DALL·E API.
- OpenAIScaling laws for reward model overoptimizationCompanies: OpenAIAbstract In reinforcement learning from human feedback, it is common to optimize against a reward model trained to predict human preferences. Because the reward model is an imperfect proxy, optimizing its value too much can hinder ground truth performance, in accordance with Goodhart's law. This effect has been frequently observed, but not carefully measured due to the expense of collecting human preference data. In
- OpenAIDALL·E now available without waitlistCompanies: OpenAINew users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.
- OpenAIIntroducing WhisperCompanies: OpenAIWe’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.
- OpenAIDALL·E: Introducing outpaintingCompanies: OpenAIExtend creativity and tell a bigger story with DALL·E images of any size.
- OpenAIOur approach to alignment researchCompanies: OpenAIWe are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.
- OpenAINew and improved content moderation toolingCompanies: OpenAIWe are introducing a new and improved content moderation tool. The Moderation endpoint improves upon our previous content filter, and is available for free today to OpenAI API developers.
- OpenAIEfficient training of language models to fill in the middleCompanies: OpenAIAbstract We show that autoregressive language models can learn to infill text after we apply a straightforward transformation to the dataset, which simply moves a span of text from the middle of a document to its end. While this data augmentation has garnered much interest in recent years, we provide extensive evidence that training models with a large fraction of data transformed in this way does not harm the origin
- OpenAIA hazard analysis framework for code synthesis large language modelsCompanies: OpenAIAbstract Codex, a large language model (LLM) trained on a variety of codebases, exceeds the previous state of the art in its capacity to synthesize and generate code. Although Codex provides a plethora of benefits, models that may generate code on such scale have significant limitations, alignment problems, the potential to be misused, and the possibility to increase the rate of progress in technical fields that may
- OpenAIDALL·E now available in betaCompanies: OpenAIWe’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15.
- OpenAIReducing bias and improving safety in DALL·E 2Companies: OpenAIToday, we are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity of the world’s population.
- OpenAIDALL·E 2: Extending creativityCompanies: OpenAIAs part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artists in our early access group have helped us discover new uses for DALL·E and have served as key voices as we’ve made decisions about DALL·E’s features.