Stop Guessing – Use Golden Datasets for Prompt Evals
Use a small golden dataset to catch prompt regressions, compare changes against a baseline, and validate model updates before users do.
Llm-Evals
RAG Is a Data Problem Before It’s a Prompt Problem
Why stale documents, weak chunking, and thin metadata usually break RAG before prompt tuning does.
Eval-first: Why “It Worked Once” Is Not a Sign of Quality
Why eval-first matters for LLM apps and how to use datasets, scoring rubrics, and CI quality gates to catch regressions early.