Summarizing Books with Human Feedback
Scaling human oversight of AI systems for tasks that are difficult to evaluate.
Scaling human oversight of AI systems for tasks that are difficult to evaluate.
Today, we’re excited to announce the appointment of Helen Toner to our Board of Directors. As the Director of Strategy at Georgetown’s Center for Security and Emerging Technology (CSET), Helen has deep expertise in AI policy and global AI strategy research. This appointment advances our dedication
We’re proud to announce that the 2021 class of OpenAI Scholars has completed our six-month mentorship program and have produced an open-source research project with stipends and support from OpenAI.
Working alongside leading OpenAI researchers that created GPT-3 and DALL·E, our Scholars explored topics like AI
We’re delighted to announce that Congressman Will Hurd has joined our board of directors.
Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through our API.
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually.
We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models. Scaling a single Kubernetes cluster to this size is rarely done
We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision.