Tutorial | LLMs in 5 Formulas (360°)

WATCH IN STANDARD FORMAT: • Tutorial | LLMs in 5 F...
One year after the release of GPT-4, large language models (LLMs) remain the most exciting topic in AI. While much about their qualitative capabilities remain poorly understood, there are some areas where we can quantitatively measure, bound, and forecast their behavior. This tutorial will introduce the topic of LLMs through 5 key formulas in their study. The goal is to provide a survey of the area by focusing on diverse efforts to formalize the remarkable nature of observed phenomena.
Instructor:
Sasha Rush, Associate Professor, Cornell Tech, Cornell University

[@jaredtweed7826]

Can you upload this with the slide not in VR

[@harvarddatascienceinitiati3320]

Working on it :)

[@dskbiswas]

This video can be a terrific example of overfitting 😁😆

[@RocketmanUT]

Going to need to reupload this, the slides are distorted.

[@harvarddatascienceinitiati3320]

Working on it :)

[@jaredtweed7826]

Thank you!

[@kalmyk]

you can just imagine formulas

[@noomade]

what do you mean?

[@davidbadmus-yh9bo]

like this

[@shrirangmoghe3784]

Please upload slides and perhaps sync it to the audio if you can. Can’t believe we are in age of AI and humans are already losing it

[@shrirangmoghe3784]

What are we even looking at here ? Are we at an edge of some black hole? Totally nauseating