It’s been a year of dramatic change and growth at OpenAI. In May, we introduced GPT-3—the most powerful language model to date—and soon afterward launched our first commercial product, an API to safely access artificial intelligence models using simple, natural-language prompts. We’re
OpenAI released its first commercial product back in June: an API for developers to access advanced technologies for building new applications and services. The API features a powerful general purpose language model, GPT-3, and has received tens of thousands of applications to date.
In addition to offering GPT-3 and future
We’ve applied reinforcement learning from human feedback to train language models that are better at summarization. Our models generate summaries that are better than summaries from 10x larger models trained only with supervised learning. Even though we train our models on the Reddit TL;DR dataset, the same
Our third class of OpenAI Scholars presented their final projects at virtual Demo Day, showcasing their research results from over the past five months.
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.
We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand.
We are now accepting applications for our third class of OpenAI Scholars, a 4-month full-time program where we provide stipends and mentorship to 8 individuals from underrepresented groups to study deep learning and produce open-source a project. The second class of Scholars recently released their projects and presented their work
At OpenAI, each Thursday is Learning Day: a day where employees have the option to self-study technical skills that will make them better at their job but which aren’t being learned from daily work. We’ve found that the biggest contributions at OpenAI come from cross-functional experts, so we
We hosted the first OpenAI Robotics Symposium on April 27, 2019. Robots that learn are an exciting path forward, yet there are differing approaches and opinions on how to make progress. The event brought together a diverse set of people from both robotics and machine learning communities as well as
