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structured decoding

Applied AI interview questions tagged structured decoding, across every topic.

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Concepts behind "structured decoding"

The curriculum that explains the ideas these questions test.

Core
🧠 Foundations of LLMs & GenAISign in
Constrained and Structured DecodingAsking a model nicely for JSON sometimes fails; constrained decoding guarantees valid output by masking, at each generation step, every token that would violate a schema or grammar, so only valid continuations can be sampled. It is the reliable way to get JSON, enums, or function-call arguments, and it underpins tool calling. The caveat: it guarantees structural validity, not semantic correctness. Applied-AI interviews probe it because production systems depend on parseable output, and 'just prompt for JSON' breaks at scale.
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