llm-evals-and-retrieval-quality

SKILLFlusso di lavorocommunity
v0.0.0jpoindexterUnknownAggiornato 18 g faFonte →

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

Community-submitted skill. Not yet reviewed by the Forge team. Full prompt content may not be available.Request review →
1Stelle del repo
1Client
1Formati
18 g faUltimo aggiornamento
Skill
Autorejpoindexter
Versione0.0.0
LicenzaUnknown
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
Cursor
Copilot
ChatGPT
Gemini
Descrizione

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.

Parole chiave
skillclaude