11 LLM eval methods AI engineers must know, organized by what they measure
blaizedsouza · x · 2026-10-12
Daily Dose of DS catalogs 11 LLM evaluation methods, arguing there's no single metric for system quality—pick by target: reference-based evals (BLEU for n-gram precision, ROUGE for recall, BERTScore for semantic similarity), plus methods for semantic correctness, multi-step agent behavior review, and blocking unsafe outputs. Quoted thread also highlights comet-ml/opik (22.5k stars, Apache-2.0) for tracing, automated evals, and dashboards for LLM/RAG/agent workflows.
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