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Tutorial | LLMs in 5 Formulas (360°) 

Harvard Data Science Initiative
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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

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6 мар 2024

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Комментарии : 11   
@jaredtweed7826
@jaredtweed7826 Месяц назад
Can you upload this with the slide not in VR
@harvarddatascienceinitiati3320
@harvarddatascienceinitiati3320 Месяц назад
Working on it :)
@RocketmanUT
@RocketmanUT Месяц назад
Going to need to reupload this, the slides are distorted.
@harvarddatascienceinitiati3320
@harvarddatascienceinitiati3320 Месяц назад
Working on it :)
@jaredtweed7826
@jaredtweed7826 Месяц назад
Thank you!
@dskbiswas
@dskbiswas 3 дня назад
This video can be a terrific example of overfitting 😁😆
@kalmyk
@kalmyk Месяц назад
you can just imagine formulas
@noomade
@noomade Месяц назад
what do you mean?
@davidbadmus-yh9bo
@davidbadmus-yh9bo 24 дня назад
like this
@shrirangmoghe3784
@shrirangmoghe3784 18 дней назад
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
@shrirangmoghe3784 18 дней назад
What are we even looking at here ? Are we at an edge of some black hole? Totally nauseating
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