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Q17 Single choice

When deploying an LLM using NVIDIA Triton Inference Server for a real-time chatbot application, which optimization technique is most effective for reducing latency while maintaining high throughput?

A
Increasing the model's parameter count to improve response quality.
B
Enabling dynamic batching to process multiple requests simultaneously.
C
Reducing the input sequence length to minimize token processing.
D
Switching to a CPU-based inference engine for better scalability.

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