If you only look at automated scores, most LLMs seem great—until they write something subtly wrong, risky, or off-tone. That’s the gap between what static benchmarks measure and what your users actually need. In this guide, we show how to blend human judgment (HITL) with automation so your LLM benchmarking reflects truthfulness, safety, and domain […]
