Evals with Hamel Husain

We're honored and excited to welcome Machine Learning Engineer and Evaluations Expert Hamel Husain for a talk. As AI systems become increasingly capable, the ability to systematically evaluate, debug, and improve them is becoming a core engineering skill. In this session, Hamel will share practical insights from years of building machine learning systems and working with teams to develop reliable evaluation workflows for production AI.

SPEAKER BIO

Hamel Husain is a machine learning engineer with 20+ years of experience. He worked at Airbnb and GitHub, including early LLM research used by OpenAI for code understanding. He also led and contributed to popular open-source machine-learning tools. Currently Hamel is working to bring data science back to AI: helping teams debug, analyze, and measure their systems. The focus of his teaching, consulting, and writing is centered around “evals" and he's currently co-teaching "AI Evals for Engineers and PMs", with over 4,500 students from 500+ companies (including OpenAI, Anthropic, and Google). https://hamel.dev/

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