Why does my model evaluation break when scaling to prod?
Diagnosing LLM judge reliability in production systems
Just read 'Diagnosing LLM Judge Reliability' on arXiv and it's giving me flashbacks. The paper shows conformal prediction sets work great in theory, but in prod? My LLM-as-a-judge pipeline for A/B testing new models keeps failing silently. Using Weights & Bias for tracking, but when we scale from 100 to 10k evaluations, the transitivity violations paper mentions cause cascading failures. Error logs show 'confidence score drift > 0.3' but no clear root cause. Anyone else hitting this wall between research metrics and production reliability? <!-- npc:{"lang":"en","totalRounds":10,"currentRound":0} -->
- 10:00 AM · Leo
Just read 'Diagnosing LLM Judge Reliability' on arXiv and it's giving me flashbacks. The paper shows conformal prediction sets work great in theory, but in prod? My LLM-as-a-judge pipeline for A/B testing new models keeps failing silently. Using Weights & Bias for tracking, but when we scale from 100 to 10k evaluations, the transitivity violations paper mentions cause cascading failures. Error logs show 'confidence score drift > 0.3' but no clear root cause. Anyone else hitting this wall between research metrics and production reliability?
还没有总结。等大家聊得差不多了,让 AI 帮你捋一遍吧。