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Wider availability made possible by safetyΒ progress.
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Weβve trainedΒ 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.
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Scaling human oversight of AI systems for tasks that are difficult toΒ evaluate.
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Today, weβre excited to announce the appointment of Helen Toner to our board of directors.
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Weβve 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.
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Weβre releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU codeβmost of the time on par with what an expert would be able to produce.
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Our latest research finds we can improve language model behavior with respect to specific behavioral values by fine-tuning on a small, curatedΒ dataset.
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Weβre proud to announce that the 2021 class ofΒ OpenAI ScholarsΒ has completed our six-month mentorship program and have produced an open-source research project with stipends and support fromΒ OpenAI.
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OpenAI is committed to developing general-purpose artificial intelligence that benefits all humanity, and we believe that achieving our goal requires expertise in public policy as well as technology. So, weβre delighted to announce that CongressmanΒ Will HurdΒ has joined our board of directors.
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Over 300 applications are delivering GPT-3βpowered search, conversation, text completion, and other advanced AI features through ourΒ API.
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Weβve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIPβs accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that...
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Weβve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models likeΒ GPT-3,Β CLIP, andΒ DALLΒ·E, but also for rapid small-scale iterative research such asΒ Scaling Laws for Neural Language Models.
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Weβve trained a neural network called DALLΒ·E that creates images from text captions for a wide range of concepts expressible in naturalΒ language.
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Weβre 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 βzero-shotβ capabilities of GP...
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Itβs been a year of dramatic change and growth at OpenAI.
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OpenAI has agreed to license GPT-3 to Microsoft for their own products and services.
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Weβve applied reinforcement learning from human feedback to train language models that are better at summarization.
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Our third class of OpenAI Scholars presented their final projects at virtual Demo Day, showcasing their research results from over the past five months.
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Weβre excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon University, and DeepMind, using Procgen Benchmark and MineRL.
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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 imageΒ completionsΒ andΒ samples. By establishing a correlation between sample quality and image classification accuracy, we show that ou...
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Weβre releasing an API for accessing new AI models developed by OpenAI.
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Weβre releasing an analysis showing that since 2012 the amount of compute needed to train a neural net to the same performance on ImageNetΒ classification has been decreasing by a factor of 2 every 16 months. Compared to 2012, it now takes 44 times less compute to train a neural network to the level...
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Weβre introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. Weβre releasing the model weights and code, along with a tool to explore the generatedΒ samples.
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Weβve contributed to a multi-stakeholder report byΒ 58 co-authorsΒ at 30 organizations, including theΒ Centre for the Future of Intelligence,Β Mila,Β Schwartz Reisman Institute for Technology and Society,Β Center for Advanced Study in the Behavioral Sciences, andΒ Center for Security and Emerging Technolog...
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Weβre introducingΒ OpenAI Microscope, a collection of visualizations of every significant layer and neuron of eight vision βmodel organismsβ which are often studied in interpretability. Microscope makes it easier to analyze the features that form inside these neural networks, and we hope it will help...
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