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Exam NCA-GENM Topic 1 Question 203 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 203
Topic #: 1
Which of the following techniques are MOST likely to improve the energy efficiency of a large-scale multimodal AI model without significantly sacrificing accuracy?

Suggested Answer: A,C,E Vote an answer

Model quantization reduces the memory footprint and computational requirements by using lower precision numbers. Knowledge distillation transfers knowledge from a large model to a smaller one, reducing the computational cost. Pruning removes redundant connections, making the model more efficient. Increasing batch size (Option B) can improve throughput but doesn't inherently reduce energy consumption per sample. Using a larger model (Option D) increases energy consumption.

by Mildred at May 25, 2025, 07:53 AM

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Here are all the actual test exam dumps for IT exams. Most people prepare for the actual exams with our test dumps to pass their exams. So it's critical to choose and actual test pdf to succeed.

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