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Saturday, 8 August 2026
Statistical Similarity
KL divergence is a way to measure "closeness" of two probability distributions. It is used in the literature on model cloning/model distillation.
Another name for it is "relative entropy".
Its full form is Kullback-Leibler divergence.
It is denoted D[KL]( P || Q ). P is the true probability distribution and Q is the approximating probability distribution.
Mathematically:
D[
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