Maximizing Model Performance with Knowledge Distillation in PyTorch

Alessandro Lamberti
Artificialis
Published in
5 min readDec 8, 2022

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Source: Stable Diffusion

As machine learning models continue to increase in complexity and capability, so too does the challenge of optimizing their performance. One effective technique for improving the performance of large, complex models is knowledge distillation, which involves training a smaller, more efficient model to mimic the behavior of a larger, “teacher” model.

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