5,982 press releases in English indexed under ai.
Large neural networks are at the core of many recent advances in AI, but training them is a difficult engineering and research challenge which requires orchestrating a cluster of GPUs to perform a single synchronized calculation.
Abstract We show that a GPT‑3 model can learn to express uncertainty about its own answers in natural language—without use of model logits. When given a question, the model generates both an answer and a level of confidence (e.g. "90% confidence" or "high confidence"). These levels map to probabilities that are well calibrated. The model also remains moderately calibrated under distribution shift, and is sensitive to
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.
We describe our latest thinking in the hope of helping other AI developers address safety and misuse of deployed models.
Abstract 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
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.
We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.
Fine-tune with a single command.
As part of our effort to support and develop AI talent, we’re excited to announce the OpenAI Residency.
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.
Scaling human oversight of AI systems for tasks that are difficult to evaluate.
We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today.