Bigger Models Fit Smoother, Not Harder
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Bigger Models Fit Smoother, Not Harder
Every machine learning course draws the same curve: grow the model and the error on new data falls, then turns around and climbs, so you find the sweet spot and stop. Keep going anyway, far past the peak, and the error comes back down, often lower than the sweet spot ever was. The peak sits exactly where the model has as many knobs as you have ...
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