Peng: Starting distributed AI optimization with fully asynchronous nodes sacrifices convergence
Bowen Peng · The Quest for Community-Trained Open Source AI Models · Oct 1, 2024 · at 1:07:21
Bowen Peng is the co-founder of Nous Research, discussing optimization trade-offs in distributed and decentralized AI model training protocols.
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“A lot of optimization algorithms start, like, with everything being, like, asynchronous. Right. But that's, like, really hard to get because you sacrifice a lot. You sacrifice the speed. You sacrifice the convergence, right? Like, actual efficiency of the algorithm.”
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