Video by PyTorch via YouTube
Debugging LLM training in production is notoriously challenging because subtle bitwise errors can surface long before they ever trigger a spike in the loss curve.
Ziming Zhou, a PhD student at the University of Michigan and student researcher at ByteDance Seed, will give a talk at PyTorch Conference North America on how to address this challenge through OpGuard. OpGuard compares separate training runs bit by bit to pinpoint the precise initial operation where executions diverge.
Join us in San Jose, October 20-21, to learn how bitwise alignment delivers faster, more precise LLM training debugging: https://hubs.la/Q04v4SL60