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At Regus shared office space, Waterloo.
180 Northfield Dr W Unit 4, Waterloo, ON N2L 0C7

Dr. Zhiying (Gin) Jiang of UWaterloo will walk us through some of the math behind learning from and compressing data, using information theory to elucidate, inform, and sometimes outperform transformer based LLMs!

Background reading for this talk: https://arxiv.org/pdf/2206.11573.pdf

Links to Gin's research and projects for background reading: https://bazingagin.github.io/

Hosting kindly sponsored by Autodesk

Events in Waterloo, ON
Machine Learning
Data Science
Mathematics
Computational Linguistics
Information Science

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