Hugging Face AI Development Filter
429 – Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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OpenAI AI Coding Filter
GPT-3 powers the next generation of apps
Over 300 applications are delivering GPT-3–powered search, conversation, text completion, and other advanced AI features through our API.
Hugging Face AI Development Filter
429 – Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face AI Development Filter
429 – Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
OpenAI AI Coding Filter
OpenAI API
We’re releasing an API for accessing new AI models developed by OpenAI.
OpenAI AI Coding Filter
Improving verifiability in AI development
We’ve contributed to a multi-stakeholder report by 58 co-authors at 30 organizations, including the Centre for the Future of Intelligence, Mila, Schwartz Reisman Institute for Technology and Society, Center for Advanced Study in the Behavioral Sciences, and...
Hugging Face AI Development Filter
429 – Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
OpenAI AI Coding Filter
Procgen Benchmark
We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns generalizable skills.
OpenAI AI Coding Filter
GPT-2: 1.5B release
As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models. While there have been larger language models released...
OpenAI AI Coding Filter
Emergent tool use from multi-agent interaction
We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some...
OpenAI AI Coding Filter
Testing robustness against unforeseen adversaries
We’ve developed a method to assess whether a neural network classifier can reliably defend against adversarial attacks not seen during training. Our method yields a new metric, UAR (Unforeseen Attack Robustness), which evaluates the robustness of a single...
OpenAI AI Coding Filter
Generative modeling with sparse transformers
We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence—whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences...
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