62What is weak supervision, and how do you train models with noisy or programmatic labels?▼mediumGoogleAmazonSnorkel2 replies◆ premiumHand-labeling at scale is the bottleneck. Weak supervision produces labels programmatically instead, and what matters is whether you can explain how a label model denoises conflicting sources into probabilistic labels. Here is the answer.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 →
