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What a Weight Update Buys: Leverage Across Training Stages

Shiromani, Shikhar
arXiv (All) · Papers
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computation-and-languagemachine-learning
Post-training moves a language model's weights by about a thousandth of their norm and changes its behavior sharply; pretraining moves them by a third and buys a slow drift. We introduce leverage, an exact measure of what a unit of weight change buys: the Fisher quadratic form of an update, computed
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