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What is model pruning (and sparsity), and how does it compare to quantization and distillation?

Pruning removes redundant weights to shrink and sometimes speed up a model. The signal is the structured-versus-unstructured split and why only structured pruning reliably wins latency on commodity hardware.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Pruning removes redundant weights to shrink and sometimes speed up a model. The signal is the structured-versus-unstructured split and why only structured pruning reliably wins latency on commodity hardware.

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