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Understanding the capabilities, limitations, and societal impact of large language models
Understanding the capabilities, limitations, and societal impact of large language models. OpenAI -…
Scaling Kubernetes to 7,500 nodes
We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models…
DALL·E: Creating images from text
We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of…
CLIP: Connecting text and images
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural…
Generative language modeling for automated theorem proving
Generative language modeling for automated theorem proving. OpenAI - artificial intelligence news.
Learning to summarize with human feedback
We’ve applied reinforcement learning from human feedback to train language models that are better at…
Procgen and MineRL Competitions
We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie…
Language models are few-shot learners
Language models are few-shot learners. OpenAI - artificial intelligence news.
AI and efficiency
We’re releasing an analysis showing that since 2012 the amount of compute needed to train a neural net to…
Improving verifiability in AI development
We’ve contributed to a multi-stakeholder report by 58 co-authors at 30 organizations, including…
How to generate text: using different decoding methods for language generation with Transformers
Back to Articles How to generate text: using different decoding methods for language generation with…
Scaling laws for neural language models
Scaling laws for neural language models. OpenAI - artificial intelligence news.
Dota 2 with large scale deep reinforcement learning
Dota 2 with large scale deep reinforcement learning. OpenAI - artificial intelligence news.
Deep double descent
We show that the double descent phenomenon occurs in CNNs, ResNets, and transformers: performance first…
Procgen Benchmark
We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a…
Benchmarking safe exploration in deep reinforcement learning
Benchmarking safe exploration in deep reinforcement learning. OpenAI - artificial intelligence news.
Safety Gym
We’re releasing Safety Gym, a suite of environments and tools for measuring progress towards reinforcement…
GPT-2: 1.5B release
As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B…
Solving Rubik’s Cube with a robot hand
We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The…
Fine-tuning GPT-2 from human preferences
We’ve fine-tuned the 774M parameter GPT-2 language model using human feedback for various tasks,…
Emergent tool use from multi-agent interaction
We’ve observed agents discovering progressively more complex tool use while playing a simple game of…
Testing robustness against unforeseen adversaries
We’ve developed a method to assess whether a neural network classifier can reliably defend against…
GPT-2: 6-month follow-up
We’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M…
Learning Day
At OpenAI, each Thursday is Learning Day: a day where employees have the option to self-study technical…