Symbol tuning improves in-context learning in language models

By Admin 14/07/2023

Google AI Blog Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research A key feature of human intelligence is that humans can learn to perform new tasks by reasoning using only a few examples. Scaling up language models has unlocked a range of new applications and paradigms in machine learning, including […]Continue reading

Larger language models do in-context learning differently

By Admin 16/05/2023

Google AI Blog Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research There have recently been tremendous advances in language models, partly because they can perform tasks with strong performance via in-context learning (ICL), a process whereby models are prompted with a few examples of input-label pairs before performing the task […]Continue reading

Director’s Innovation Speaker Series: All of Us Research Program: Improving Health Through Innovative Technology, Large and Diverse Cohorts, and Precision Medicine

By Admin 14/10/2022

NIMH News Feed Joshua Denny, M.D., M.S., F.A.C.M.I., Chief Executive Officer of the National Institutes of Health’s All of Us Research Program, will discuss the program’s historic effort to collect and study data from one million or more people living in the United States. Go to Source October 14, 2022 – 9:05 am /National Institute […]Continue reading