Your question is LLM Evaluation Frameworks. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you implement robust LLM evaluation frameworks to track model drift and performance degradation?
Explain how you would combine offline benchmarks, production monitoring, human review, and task-specific metrics. Address changing data distributions, non-deterministic outputs, delayed labels, evaluator reliability, alert thresholds, and regression testing. Describe how results would be recorded and compared across model versions, prompts, retrieval configurations, and deployment segments.