NCP-GENL

Model Optimization

easy

Question 5 of 34

In a benchmarking discussion, a practitioner needs the most direct NVIDIA-backed fact. Which statement best matches tensorrt llm python api?

AChoose guardrail policies because latency and throughput are mainly a content-safety problem.

BTensorRT-LLM provides an easy-to-use Python API to define Large Language Models.

CChoose prompt wording because inference efficiency is unrelated to engines, precision, or kernels.

DChoose dataset deduplication because batch and memory optimization are mainly curation tasks.

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