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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…
Why responsible AI development needs cooperation on safety
We’ve written a policy research paper identifying four strategies that can be used today to improve the…
Transfer of adversarial robustness between perturbation types
Transfer of adversarial robustness between perturbation types. OpenAI News - artificial intelligence news.
Generative modeling with sparse transformers
We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what…
Implicit generation and generalization methods for energy-based models
We’ve made progress towards stable and scalable training of energy-based models (EBMs) resulting in…
Introducing Activation Atlases
We’ve created activation atlases (in collaboration with Google researchers), a new technique for…
Neural MMO: A massively multiagent game environment
We’re releasing a Neural MMO, a massively multiagent game environment for reinforcement learning agents.…
Spinning Up in Deep RL: Workshop review
On February 2, we held our first Spinning Up Workshop as part of our new education initiative at OpenAI.
AI safety needs social scientists
We’ve written a paper arguing that long-term AI safety research needs social scientists to ensure AI…
Better language models and their implications
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text,…
Computational limitations in robust classification and win-win results
Computational limitations in robust classification and win-win results. OpenAI News - artificial intelligence…