tool calling
AI tool calling lets a model request a structured operation from software instead of only returning natural-language text.
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 101–120 of 1136 terms
Clear filtersAI tool calling lets a model request a structured operation from software instead of only returning natural-language text.
AI adoption is the process by which people and organizations begin using AI systems as a sustained part of real products, decisions, and workflows.
An AI agent runtime is the execution system that manages an agent's model calls, tools, state, permissions, and task lifecycle.
An application connector gives an AI system or workflow a defined way to read data from and perform actions in an external application.
Coding output quality measures whether AI-generated software is correct, maintainable, complete and suitable for its intended use.
AI compute capacity is the available ability of hardware and supporting systems to perform AI training or inference work over time.
Embodied AI perceives and acts through a physical or simulated body while interacting with an environment.
Emergent multi-agent behavior is a system-level pattern that arises from interactions among agents even though no single agent was explicitly programmed to produce it.
Formal verification uses mathematical logic and machine-checked proofs to establish that a system satisfies a precisely stated specification.
An AI inference provider operates models as a service and returns outputs for application requests.
Knowledge distillation trains a smaller or different AI model to reproduce useful behavior learned from a stronger teacher model.
Model orchestration coordinates multiple AI models so each request or workflow step uses an appropriate model and its result is checked or combined.
AI personalization adapts information, recommendations, interfaces, or agent behavior to an individual or group using permitted context and observed needs.
A recommendation system ranks or selects items for a user by estimating which options are most relevant to their interests, intent or context.
A safeguard is a measure designed to prevent, limit, detect, or recover from unwanted behavior or harm in an AI system.
A specialized AI agent is configured for a focused role with task-specific context, tools, models, and permissions.
A voice interface lets people interact with software through spoken input and audio responses.
3D reconstruction estimates the shape, position and appearance of a three-dimensional scene or object from captured observations.
An agent audit trail is an ordered, durable record of an AI agent's instructions, decisions, tool calls, state changes, identities, and outcomes.
Agent payment authorization defines and verifies which payments an AI agent may make, including limits on value, recipients, timing, purpose, and transaction type.