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6추천CSV of prompts → JSONL of responses + scores. 100 lines of Go. Maybe useful for your eval pipeline.
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6추천링크We were merging PRs blind. Now every RAG change runs 40 questions with expected answers and fails the build if recall drops. It's crude but it caught two regressions last week. Sometimes the simple stuff wins.
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5추천Building evals feels like a second product. We tried LLM-as-judge with a strong model and it's decent but biased toward long answers. Anyone using lightweight checks + sampling? What's your minimal viable eval?