How to evaluate LLMs before production

A language model can perform well on a clean benchmark and still struggle with the cases that matter in production. Benchmarks and curated datasets are useful when prototyping an LLM-based system. They help teams compare models, test an initial prompt, and determine whether an idea is technically plausible. But as a system moves closer to...