When Frontier Models Aren’t Enough: Why Partly Built Its Own

Frontier models can write code and pass exams, but they can’t reliably tell a repairer which bumper fits which car. So Partly built Interpreter, a foundation model purpose-built for automotive parts. Partly co-founder and CEO Levi Fawcett shares why general-purpose AI hits a wall in specialist domains, what it takes to build your own model, and why the most interesting problems in AI are hiding in industries everyone else ignores. Please note: Adding this session to your agenda does not guarantee admission. Admission will be granted on a first-come, first-served basis until room capacity is reached. Austin Tech Week session. Check the official listing for badge, capacity, and any separate RSVP requirements.

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