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Microsoft Research Summit 2021 • Videos

Roundtable discussion: Efficient and adaptable large-scale AI

The AI landscape has been transformed by the advent of large-scale models like BERT, Turing, and, most recently, GPT-3. Researchers have brought language models to new heights in terms of performance, propelling advancements in search, language translation, and more. As models are growing in size and capability, their applications are also expanding. But they are also becoming harder to deploy and adopt efficiently. Join us for a roundtable discussion hosted by Senior Principal Researcher Ahmed Awadallah to discuss the many ways we can improve efficiency and adaptability in next-generation AI. He will be joined by Microsoft Distinguished Scientist Jianfeng Gao, Princeton University Assistant Professor Danqi Chen, and Song Han, Assistant Professor in MIT’s Electrical Engineering and Computer Science program.

Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)

Event:
Microsoft Research Summit 2021
Track:
Deep Learning & Large-Scale AI
Date:
Speakers:
Ahmed Awadallah, Jianfeng Gao, Danqi Chen, Song Han
Affiliation:
Microsoft Research Redmond, Microsoft Research Redmond, Princeton University, MIT

Deep Learning & Large-Scale AI