Epoch Database
Key Data on AI
Epoch AI collects key data on machine learning models from 1950 to the present to analyze historical and contemporary progress in AI.
The Epoch database is a valuable resource for policymakers, researchers, and stakeholders to foster responsible AI development and deployment.
We identify and track contemporary and historic advances in AI, collating key details across several areas. This research includes who developed models, when, and for what tasks, how much compute was used for training, how many parameters models have, how much data was used for training, what hardware was used for training, and more.
Notable models meet at least of the following criteria: state-of-the-art performance on a recognized benchmark, being highly influential in research (having over 1000 citations), or an equivalent level of popular usage or historical significance. Using Semantic Scholar, we find influential research throughout the history of AI and ensure our database stays up-to-date with the latest developments.
Epoch AI is a multidisciplinary research institute investigating the trajectory and impact of artificial intelligence. We publish datasets, data visualizations, research reports, and predictive models to analyze the forces shaping AI development. Our goal is to foster scientific dialogue and bring empirical rigor to predictions about the future of AI.
Content on this page is generated by our API partners. If you find inappropriate content or errors, please contact us with details and we will do our best to address your concerns.