AI 뉴스

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 concepts expressible in natural language.

CLIP: Connecting text and images

We’re 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 “zero-shot” capabilities of G…

Organizational update from OpenAI

It’s been a year of dramatic change and growth at OpenAI.

Leveraging Pre-trained Language Model Checkpoints for Encoder-Decoder Models

Porting fairseq wmt19 translation system to transformers

Hyperparameter Search with Transformers and Ray Tune

Transformer-based Encoder-Decoder Models

OpenAI licenses GPT-3 technology to Microsoft

OpenAI has agreed to license GPT-3 to Microsoft for their own products and services.

Block Sparse Matrices for Smaller and Faster Language Models

Generative language modeling for automated theorem proving

Learning to summarize with human feedback

We’ve applied reinforcement learning from human feedback to train language models that are better at summarization.

OpenAI Scholars 2020: Final projects

Our third class of OpenAI Scholars presented their final projects at virtual Demo Day, showcasing their research results from over the past five months.

The Reformer - Pushing the limits of language modeling

Procgen and MineRL Competitions

We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon University, and DeepMind, using Procgen Benchmark and MineRL.

Image GPT

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 image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that o…

OpenAI API

We’re releasing an API for accessing new AI models developed by OpenAI.

Language models are few-shot learners

AI and efficiency

We’re releasing an analysis showing that since 2012 the amount of compute needed to train a neural net to the same performance on ImageNet 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…

Jukebox

We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artist styles. We’re releasing the model weights and code, along with a tool to explore the generated samples.

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 Center for Security and Emerging Technolo…