122How do you run a human evaluation you can actually trust?▼mediumOpenAIAnthropicScale AI◆ premiumMost teams run human eval as a vibe check with ten examples and a 1-5 slider. The signal is treating it as a designed experiment: pairwise, blinded, powered, and agreement-measured. Here is the protocol that survives scrutiny.Open full answer →
20How do you ensure label/annotation quality in a data pipeline?▼mediumGoogleAmazonScale AI2 replies○ sign inModels can only be as good as their labels, and noisy annotation quietly caps performance. What interviewers want is a measured quality process, not a bigger collection effort. Here is the answer.Open full answer →