json
FDE interview questions tagged json, across every topic.
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Concepts behind "json"
The curriculum that explains the ideas these questions test.
Core
Constrained DecodingConstrained decoding forces a model's output to match a schema or grammar by masking the logits at each step so the model can only sample tokens the grammar still allows. It guarantees structurally valid output (JSON, SQL, a fixed enum) at a small latency cost, which is why FDE loops reach for it the moment a pipeline depends on parseable model output.🧠 Foundations of LLMs & GenAISign in
Advanced
Structured Output and Schema ValidationThe 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.🧠 Foundations of LLMs & GenAI🔒 Premium