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.
























































Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs.
Special double-feature closing keynote from the 6 authors of the hit O'Reilly article on Applied LLMs.
I build ML systems to serve customers at scale, and write to learn and teach.
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 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.
Jason is an independent consultant, machine learning engineer, angel investor, startup advisor, and a16z scout who teaches teams to work scientifically by measuring improvements and iterating quickly. After years at top tech companies, he now creates educational content and courses on open source and systematic AI application improvement, and is the creator of Instructor—a popular Python library that inspired OpenAI’s structured output feature.
Jason is an independent consultant, machine learning engineer, angel investor, startup advisor, and a16z scout who teaches teams to work scientifically by measuring improvements and iterating quickly. After years at top tech companies, he now creates educational content and courses on open source and systematic AI application improvement, and is the creator of Instructor—a popular Python library that inspired OpenAI’s structured output feature.
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.
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.
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