Concept
Models
OpenAI API
We’re releasing an API for accessing new AI models developed by OpenAI.
Topics: Models
Entities: OpenAIModelsOpenAI API
Language models are few-shot learners
Recent work has demonstrated substantial gains on many NLP tasks and benchmarks by pre-training on a large corpus of text followed by fine-tuning on a specific task. While typically task-agnostic in architecture, this method still requires task-specific...
Topics: ModelsInfrastructure
Entities: ModelsInfrastructure
OpenAI Microscope
We’re introducing OpenAI Microscope, a collection of visualizations of every significant layer and neuron of eight vision “model organisms” which are often studied in interpretability. Microscope makes it easier to analyze the features that form inside...
Topics: Models
OpenAI standardizes on PyTorch
We are standardizing OpenAI’s deep learning framework on PyTorch.
Topics: Models
Scaling laws for neural language models
We study empirical scaling laws for language model performance on the cross-entropy loss. The loss scales as a power-law with model size, dataset size, and the amount of compute used for training, with some trends spanning more than seven orders of...
Topics: ModelsInfrastructure
Entities: ModelsInfrastructure
Dota 2 with large scale deep reinforcement learning
On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions at an esports game. The game of Dota 2 presents novel challenges for AI systems such as long time horizons, imperfect information, and complex, continuous state-action...
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructure
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...
Topics: Models
Entities: Models
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 neural networks are trained entirely in simulation, using the same reinforcement learning code as OpenAI Five paired with a new technique called Automatic...
Topics: ModelsInfrastructure
Entities: OpenAIModelsInfrastructure
OpenAI Scholars 2020: Applications open
We are now accepting applications for our third class of OpenAI Scholars.
Topics: Models
Fine-tuning GPT-2 from human preferences
We’ve fine-tuned the 774M parameter GPT-2 language model using human feedback for various tasks, successfully matching the preferences of the external human labelers, though those preferences did not always match our own. Specifically, for summarization...
Topics: Models
Entities: Models
GPT-2: 6-month follow-up
We’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M model in February, staged release of our medium 355M model in May, and subsequent research with partners and the AI community into the model’s potential for...
Topics: Models
Entities: Models