Decoding and inference behavior · MLD-1179
Structured output
Model output organized to satisfy an explicit schema or format.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Return fields matching a defined JSON schema.
Original caveat
A valid schema does not guarantee correct field values.
Context and aliases
Level: Intermediate. Stages: Inference · Evaluation · Deployment.
Tags: SLM · LLM · NLP.
Aliases: None recorded.
Related concepts
Concepts linking here
Technology connections
- Agent2Agent (A2A) — Protocol for interoperable communication between agent systems.
- Guidance — Library for controlling model generation with structured programs.
- Instructor — Library for typed structured responses from supported model APIs.
- JSON Schema — Standard vocabulary for describing and validating JSON documents.
- Model Context Protocol (MCP) — Protocol for connecting AI applications to tools and context servers.
- OpenAPI — Language-neutral description format for HTTP APIs.
- Outlines — Library for constraining supported model generation to formats.
- Pydantic — Python type-based data validation and serialization library.
- XGrammar — Grammar-constrained decoding engine.
Original references
- Hugging Face: generation strategies ↗ · Reference link
- Fast Inference from Transformers via Speculative Decoding ↗ · Consulted
- vLLM documentation ↗ · Consulted
- Original reference URL ↗