Schmidt: Sharing only key signals in distributed training yields equivalent model learning
Jeff Schmidt · The Quest for Community-Trained Open Source AI Models · Oct 1, 2024 · at 32:42
Jeff Schmidt is the co-founder of Nous Research. He discusses the core theoretical finding behind DisTrO, a decentralized AI training protocol designed to significantly lower communication bandwidth between training nodes.
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“We know that like what we, what needs to be communicated between these things, the two, the different nodes are just these few key pieces of information. And that is necessary. That is a necessary condition or rather a sufficient condition To get the equivalent behavior of sharing everything, you know, and that is an insight, you know, that is worthwhile in helping us continue to understand what's actually happening when these models learn, because it is as for as much research as we've done, it's still very much like a giant question mark, like what's actually happening inside these models.”
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