sokrypton explains why self-distillation works for protein structure models
sokrypton · x · 2026-09-18
Answering why a model's initial predictions contain new information beyond the training set, sokrypton explains: if you run these models enough times (thousands), they'll eventually sample the correct confident answer. Keep saving those confident results and train on them, and the next model won't need extensive sampling on those examples — the mechanism behind TorchFold's self-distillation gains.
Related event: sokrypton explains why TorchFold self-distillation works(2 posts)→
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