02When do you choose prompting vs RAG vs fine-tuning for a customer problem?▼medium★ EssentialOpenAIAnthropicCohere2 repliesunlockedThe single most-asked applied GenAI question, and the one most candidates answer as a definition dump. The interviewer wants a decision framework with a default and the conditions that flip it. Here is the call that scores.Open full answer →
02Explain the bias-variance tradeoff, and how you diagnose and fix high bias vs high variance.▼medium★ EssentialAmazonGoogleMeta2 repliesunlockedThe most common ML fundamentals question, and a quiet seniority test: anyone recites the definition, but can you decompose the error and turn it into a concrete debugging plan?Open full answer →
78What assumptions does linear regression make, and how do you check and handle violations?▼mediumAmazonMetaDatabricks1 replies◆ premiumEveryone can recite 'linearity and normality.' Few can say which assumption matters for predictions versus inference, how to spot a violation in a residual plot, and what to actually do about it. Here is that answer.Open full answer →
