Orchestration

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

Forcing predictable formats for downstream systems; reduces parsing errors and supports validation/guardrails.

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.

System design where humans validate or guide model outputs, especially for high-stakes decisions.

Tendency to trust automated suggestions even when incorrect; mitigated by UI design, training, and checks.

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.