BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:An Introduction to In-Context Learning - Juyeon Heo\, John Bronski
 ll\, University of Cambridge
DTSTART:20250319T110000Z
DTEND:20250319T123000Z
UID:TALK229582@talks.cam.ac.uk
CONTACT:120952
DESCRIPTION:In-context learning (ICL) has emerged as a powerful capability
  of large language models (LLMs)\, allowing them to adapt to new tasks wit
 hout explicit parameter updates. This talk begins with an introduction to 
 meta-learning and neural processes\, which lay the foundation for ICL. We 
 then move on to transformer based ICL where the model can be trained from 
 scratch or leverage pre-trained LLMs. To attempt to understand why ICL wor
 ks\, we discuss its connections to Bayesian inference\, kernel regression\
 , and gradient descent. Finally\, we examine potential safety concerns in 
 ICL\, highlighting risks and challenges in reliable AI deployment.
LOCATION:Cambridge University Engineering Department\, CBL Seminar room BE
 4-38.
END:VEVENT
END:VCALENDAR