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Evaluating LLM Success Beyond Perplexity

HardGenerative AI & LLMs00:00
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Your question is Evaluating LLM Success Beyond Perplexity. 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).

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Problem

Describe the challenges of LLM evaluation and how you measure success beyond simple perplexity.

Discuss how you would evaluate an LLM-powered application in practice, including quality, factuality, safety, robustness, latency, and cost. Explain how you would build offline test sets, use human or LLM-based judges, monitor production behavior, and handle cases where ground-truth answers are unavailable.

Give concrete metrics, test designs, and examples of how you would use evaluation results to choose between prompts, models, retrieval strategies, or fine-tuning.