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. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar models learn.
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.
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
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.
It’s been a year of dramatic change and growth at OpenAI.
DPhil student Konrad Kollnig reveals the development of a new privacy app TrackerControl, created in the Department of Computer Science's Human Centred research group.
Jamie, whose career has taken an unusual turn as online teaching sensation @DrFrostMaths, talks about his time studying at Oxford
DPhil student Ge Wang looks at the rapid adoption and increasing reliance on parental control apps and their efficacy
For the third year running the University of Oxford has been ranked first in the world for Computer Science in The Times Higher Education 2021 World University Rankings
PhishAR builds on the work of Professor Ivan Martinovic and Dr Ivo Sluganovic from Oxford’s Department of Computer Science, and employs augmented reality to crack down on “phishing”, an online scamming technique which fools a user into handing over their digital security credentials and other sensitive information, such as personal data or credit card details.
OpenAI has agreed to license GPT-3 to Microsoft for their own products and services.
We’ve applied reinforcement learning from human feedback to train language models that are better at summarization.
Our third class of OpenAI Scholars presented their final projects at virtual Demo Day, showcasing their research results from over the past five months.
Welcome to Newsletter by me, Alexis.
We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon University, and DeepMind, using Procgen Benchmark and MineRL.
We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that our best generative model also contains features competitive with top convolutional nets in the unsupe
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