Colloquium on Applications of LLMs

Overview

The Data Sciences Institute is hosting a colloquium on applications of LLMs for faculty and students. This is an opportunity for researchers from different disciplines to exchange initial thoughts, experiences, and ideas, in a casual and informal setting, so that we can all better integrate LLMs into our research.

The event is happening on Tuesday, 11 April, 2023, at the Department of Statistical Sciences, University of Toronto.

In-person attendance is encouraged, but there will be a Zoom option. To promote an open and honest exchange of preliminary ideas and impressions we won’t record the event.

Schedule

Time	Event	Speaker	Perspective or topic
09:00	Coffee	-	-
09:10	Welcome	Mike Evans	Statistical Sciences
09:15	Invited talk	Bree McEwan	Communication
09:30	Invited talk	Benjamin Haibe-Kains	Computational pharmacogenomics
09:45	Invited talk	Jason Hattrick-Simpers	Materials Science and Engineering
10:00	Invited talk	Marcel Fortin	Map and Data Library
10:15	Invited talk	Michael Hoffman	Computational genomics
10:30	Morning tea	-	-
10:45	Invited talk	Joshua Speagle, Kristen Menou, and Jo Bovy	Astrostatistics and Data Science; Physics and Astrophysics; Galactic Astrophysics
11:15	Invited talk	Jonathan Rose	Electrical and Computer Engineering
11:30	Industry presentation	Edward Kim	Cohere
11:45	Invited talk	Wendy Wong	Political science
12:00	Masterclass	Jinyue Feng and Annie En-Shiun Lee	Computer Science. “An overview of how LLMs work”
12:45	Lunch break	-	-
13:30	Hands-on activity - Part I	-	Code your own GPT following https://youtu.be/kCc8FmEb1nY
14:30	Afternoon tea	-	-
14:45	Hands-on activity - Part II	-	Code your own GPT following https://youtu.be/kCc8FmEb1nY
16:00	Finish	-	-

Contact

For any questions or comments, please contact Rohan Alexander: rohan.alexander@utoronto.ca.