We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.
Related Posts
Funding grants for new research into AI and mental health
OpenAI is awarding up to $2 million in grants for research at the intersection of AI and mental health. The…
Learning a hierarchy
We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allowing fast…
AI safety via debate
We’re proposing an AI safety technique which trains agents to debate topics with one another, using a human to judge…
