Scaling laws are most useful for planning. If you know the exponent, you can estimate how much loss you will save by growing the model, before you spend the compute to train it.
Implement loss_ratio_for_size_increase(factor, alpha), returning factor ** (-alpha).
factor is the ratio of new size to old size.Raise the factor to the power of the negated exponent.
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