How do you design evaluation datasets for LLM production systems?

Evaluation datasets must cover real-world queries, edge cases, adversarial inputs, and regression scenarios.

LLM evaluation datasets are not static benchmarks; they evolve with production traffic. They include golden datasets (high-quality labeled examples), adversarial prompts (jailbreak attempts), and synthetic edge cases. Continuous updates ensure regression testing across prompt and model changes.