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Structured Output and Schema Validation
The moment a model's output feeds another system, prose is a liability and a schema is the contract. Constrained decoding makes malformed JSON impossible; validation with something like Pydantic catches the errors that are still valid JSON, which are the ones that reach production.
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Machine Learning & Data ScienceExplain k-fold cross-validation, and when would you refuse to use it?→MLOps & ML EngineeringHow did you ensure quality and testing on top of your MLOps pipeline?→LLM & GenAI FundamentalsWhat are the failure modes of tool/function calling, and how do you handle them in production?→LLM & GenAI FundamentalsYou need guaranteed JSON from the model, but it keeps breaking the schema. What do you do?→SQL & Data EngineeringDesign a star schema for a ride-sharing company's analytics.→SQL & Data EngineeringYou must ingest from a customer source that ships nulls, duplicates, and surprise schema changes. Design defensive ingestion.→
