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#93 – Daphne Koller: Biomedicine and Machine Learning

Lex Fridman Podcast

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Test AI systems for generalizability by training them on one set of circumstances and testing on many different sets. If it works on numerous, varied test sets, it's more likely to be robust and work on further unseen sets. This helps increase confidence in systems like automated vehicles that can't be tested in every possible real world scenario.

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