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Output Parser
AI Glossary Term
What is Output Parser?
Definition
Logic that validates and converts model output into strongly typed, machine-usable structures.
Related terms
OCR (Optical Character Recognition)
Technology that converts text in images or scans into machine-readable text.
Guarded Decoding
A generation strategy that constrains output tokens to valid structures or policy-compliant choices.
Structured Output
Model output constrained to a defined schema such as JSON, tool arguments, or typed fields.
Algorithmic Transparency
How clearly an AI system's logic, data sources, and limitations are documented and understandable.
Annotation
Human-added labels or metadata used to train or evaluate machine learning models.
Attention Mechanism
A model component that dynamically focuses on relevant parts of an input when producing an output.
Learn more in our free guides
Structured Outputs
Self-Refine Iterative Output Improvement
Watermarking Language Model Outputs
Guardrails and Output Moderation
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