Câu 33: NCP-AAI: Agentic AI

A team is evaluating multiple versions of an AI agent designed for customer support. They want to identify which version completes tasks more efficiently, responds accurately, and improves over time using user feedback. Which practice is most important to ensure continuous refinement and optimal performance of the AI agent?

1. A. Comparing agents on isolated tasks without standardized benchmarking pipelines
2. B. Relying solely on offline benchmarks without incorporating live user feedback during tuning
3. C. Implementing an evaluation framework that quantifies task efficiency and incorporates human-in-the-loop feedback — đáp án hiện tại
4. D. Tuning model parameters once before deployment to maximize initial accuracy