Eugene Yan, Hamel Husain, Jason Liu, Dr Bryan Bischof, Charles Frye & Shreya Shankar - What We Learned From A Year of Building With LLMs

Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs.

Date
Time
Track
Keynote
Room
YBB Salons 7 - 8

Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs.

Eugene Yan

I build ML systems to serve customers at scale, and write to learn and teach.

Eugene Yan
Eugene YanSenior Applied Scientist

Hamel Husain

Hamel Husain started working with language models five years ago when he led the team that created CodeSearchNet, a precursor to GitHub CoPilot. Since then, he has seen many successful and unsuccessful approaches to building LLM products. Hamel is also an active open source maintainer and contributor of a wide range of ML/AI projects. Hamel is currently an independent consultant.

Hamel Husain
Hamel HusainAI Engineer

Jason Liu

Jason is an independent AI consultant, advisor, writer, and educator. His main interests are structured outputs, search and retrieval for RAG as well as understanding how to leverage AI to build scalable and valuable businesses.

Jason Liu
Jason LiuConsultant (Instructor)

Dr Bryan Bischof

Bryan Bischof is the Head of AI at Hex, where he leads the team of engineers building Magic—the data science and analytics copilot. Bryan has worked all over the data stack leading teams in analytics, machine learning engineering, data platform engineering, and AI engineering. He started the data team at Blue Bottle Coffee, led several projects at Stitch Fix, and built the data teams at Weights and Biases. Bryan previously co-authored the book Building Production Recommendation Systems with O’Reilly, and teaches Data Science and Analytics in the graduate school at Rutgers. His Ph.D. is in pure mathematics.

Dr Bryan Bischof
Dr Bryan BischofHead of AI

Charles Frye

Charles Frye
Charles FryeAI Engineer

Shreya Shankar

Shreya Shankar
Shreya ShankarUCB EECS & EPIC Lab

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