16How do you test an ML system (beyond accuracy), including data, model, and behavioral tests?▼medium★ EssentialGoogleMicrosoftDatabricks3 replies○ sign inA high accuracy number hides slice failures, brittleness, and silent data bugs. What counts is naming the test layers that catch what the headline metric can't. Here is the framework that gets scored highest.Open full answer →
58Your LLM app aces the eval set and is brittle in the wild. How do you test robustness to input variation?▼mediumOpenAIAnthropicScale AI◆ premiumYour eval set is clean, well-punctuated, and phrased the way you think about the problem. Your users are not. The move that turns this from a vibe check into an engineering artifact is measuring invariance rather than accuracy, and gating on the number it produces.Open full answer →
