Structured Output

Rules and controls around generation (filters, validators, structured outputs) to reduce unsafe or invalid behavior.

Models that process or generate multiple modalities, enabling vision-language tasks, speech, video understanding, etc.

AI subfield dealing with understanding and generating human language, including syntax, semantics, and pragmatics.

Visualization of optimization landscape.

Minimum relative to nearby points.

Methods for breaking goals into steps; can be classical (A*, STRIPS) or LLM-driven with tool calls.

Mechanisms for retaining context across turns/sessions: scratchpads, vector memories, structured stores.

Coordinating tools, models, and steps (retrieval, calls, validation) to deliver reliable end-to-end behavior.

Constraining model outputs into a schema used to call external APIs/tools safely and deterministically.