A powerful model (teacher) trains a smaller, faster model (student) to mimic its predictions. This "compression" technique transfers knowledge without sacrificing performance. Used to deploy AI on edge devices, it benefits developers needing efficient models, mobile app users, and companies reducing cloud computing costs.
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