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LLMs for Data Science

Hadley Wickham Hadley Wickham | Chief Scientist | Posit

Obviously everyone is super excited about LLMs right now, and while there's a large element of hype in the popularity they are also genuinely useful. In this talk I'll give a round up of data science things that I've found LLMs particularly useful for, broken up into three broad categories: writing code, writing prose, and rectangling fundamentally non-rectangular data (e.g. test, images, videos, audio). 
Hadley Wickham
Hadley Wickham
Chief Scientist | Posit

Hadley Wickham is Chief Scientist at Posit, where he shapes the future of data science tools and workflows. Creator of the tidyverse and numerous influential R packages, he's transformed how people work with data in R. A statistics Ph.D. from Iowa State, he combines deep technical expertise with a passion for making data science more accessible. When not coding, he's teaching at Rice University or advancing data visualization techniques through his widely-cited research.

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