Free Practice: NCP-AAI

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Question 1Free Practice

You operate a NeMo-based agent that performs RAG over a large vector store and then queries an LLM accelerated with TensorRT-LLM behind Triton. Costs are rising and throughput is capped. Which configuration change best improves throughput per dollar while keeping response quality stable?

Turn off NeMo Guardrails to remove an extra processing step and save cost.

Always force the agent to call tools after generation so the LLM “thinks” first, reducing wasted tool calls.

Cache the final generated answers for each user session and return the cache on any similar query.

Batch embedding creation and retrieval calls where possible, and enable response streaming from the LLM to overlap server compute with client consumption.

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