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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