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AI & Machine Learning · Intermediate

Mixed Precision Training

Training with lower-precision number formats (FP16/BF16/FP8) for most operations while keeping critical values in FP32.

Definition

Mixed precision cuts memory use and speeds up math on Tensor Cores, often 2x or more, with little accuracy loss. Loss scaling prevents FP16 underflow; BF16 has a wider range and usually needs no loss scaling.

Exam tip

Mixed precision is a standard first step to speed up GPU training.

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