My 3 AM AI code review was dead wrong

I was convinced my model was overfitting since the validation loss kept bouncing around. Ran a proper cross-validation setup last Tuesday and turns out the dropouts were just noisy from a tiny batch size. Anyone else catch themselves blaming the algorithm when the real issue is your own testing pipeline?

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