Microsoft Turing Academic Program (MS-TAP)
News & features
Learning from interaction with Microsoft Copilot (web)
| Scott Counts, Jennifer Neville, Mengting Wan, Ryen W. White, and Longqi Yang
Microsoft researchers are taking a comprehensive and dynamic approach to help Copilot (web) continuously learn from interaction and feedback, improving the AI system and making it increasingly useful for consumers. Learn more.
AI Explainer: Foundation models and the next era of AI
| Ahmed Awadallah
The release of OpenAI’s GPT-4 is a significant advance that builds on several years of rapid innovation in foundation models. GPT-4, which was trained on the Microsoft Azure AI supercomputer, has exhibited significantly improved abilities across many dimensions—from summarizing lengthy…
Research Focus: Week of January 23, 2023
Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Organizations must digitize various documents, many with charts and images, to manage…
Efficiently and effectively scaling up language model pretraining for best language representation model on GLUE and SuperGLUE
| Jianfeng Gao and Saurabh Tiwary
As part of Microsoft AI at Scale (opens in new tab), the Turing family of NLP models are being used at scale across Microsoft to enable the next generation of AI experiences. Today, we are happy to announce that the…