Function Calling

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.

Visualization of optimization landscape.

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.

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