Making AI Cheaper, Smaller, and Faster
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Explores comprehensive approaches to reducing AI costs and improving performance through model optimization techniques like quantization, pruning, and knowledge distillation, alongside hardware acceleration strategies. Covers software-based solutions including specialized frameworks and low-level optimizations, as well as
Table of contents
More weights, more problemsPruning weights and costsThe business of cutting costsConclusionAppendix1 Comment
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