Reference-grade guide to evaluating LLM and RAG systems — golden/regression/adversarial eval sets, LLM-as-judge and its biases, retrieval metrics (recall@k, MRR, nDCG), grounding/faithfulness/attribution, RAGAS-style scoring, eval-set construction from production traces, and the CI gates that stop s
Reference-grade guide to evaluating LLM and RAG systems — golden/regression/adversarial eval sets, LLM-as-judge and its biases, retrieval metrics (recall@k, MRR, nDCG), grounding/faithfulness/attribution, RAGAS-style scoring, eval-set construction from production traces, and the CI gates that stop silent regressions.
Questa voce non pubblica alcun pacchetto npm, quindi Forge non ha un albero delle dipendenze per essa. È una lacuna di copertura, non l'affermazione che non abbia dipendenze.