Multiple Choice Flashcards on 01 Artificial Intelligence Engineer - AiE / 04...

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Flashcard Practice Artificial Intelligence Engineer - AiE Multiple Choice

A team prunes 80 percent of individual weights from a recommender model, but GPU inference latency barely changes. Profiling shows dense kernels still execute full matrix operations. What should the team conclude before claiming a serving-speed improvement?

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The validation set is too small to measure sparse matrix arithmetic. Latency gains require a sparse pattern and runtime that the hardware can exploit. The batch size should be increased until pruned weights are recomputed. The pruned model should be retrained until dense kernels skip zero values during production serving.

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