58Your RAG system aces your eval set but fails on real user queries. How do you close the gap?▼hardGleanPerplexityHarvey1 replies◆ premiumA 90% eval score alongside angry users means your eval set doesn't resemble reality. The fix is to make evaluation follow production, not the reverse. Here is how.Open full answer →
22How do you detect out-of-distribution inputs, and why does it matter for safe deployment?▼mediumGoogleAmazonMicrosoft2 replies◆ premiumModels return confident answers on inputs unlike anything in their training set, which is how silent production failures start. The signal is knowing why raw softmax confidence misleads and which detectors genuinely separate in- from out-of-distribution.Open full answer →
