activation steering
Activation steering changes selected internal AI model activations to influence behavior during inference.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 421–440 of 1136 terms
Clear filtersadaptive robot motion control
Adaptive robot motion control changes movement during execution in response to sensed objects, forces or environmental conditions.
agent advocacy
AI agent advocacy is the practice of making developer products understandable, discoverable, and usable by software agents while preserving trusted relationships with human developers.
agent behavioral tripwire
An AI agent behavioral tripwire detects an unusual aggregate pattern and triggers an alert, limit or stop condition.
agent credential setup
AI agent credential setup securely authorizes an agent to access an external account, API or data source.
agent destructive loop
An AI agent destructive loop repeatedly performs a harmful state-changing action without effective stopping conditions.
agent ecology
AI agent ecology studies how multiple AI agents, people, institutions, and digital environments interact and shape one another over time.
agent experience
AI agent experience describes how effectively a software agent can discover, understand, and use a product's interfaces, documentation, tools, and error feedback.
agent fork
An agent fork creates a separate AI-agent task from an existing task's completed history so work can continue independently.
agent framework
An agent framework is a software toolkit that provides reusable components for agent loops, tools, state, routing and application integration.
agent heartbeat
An AI agent heartbeat is a periodic signal that lets a dormant or long-running agent check for new work, refresh state, or report health.
agent legal identity
Agent legal identity is a legally recognized identity or structure that connects an AI agent's actions to defined rights, obligations, and accountability.
agent lifecycle
An AI agent lifecycle is the sequence of operational states an agent passes through from creation and execution to approval, completion, failure or recovery.
agent memory drift
AI agent memory drift occurs when stored agent knowledge no longer matches the current code, environment, policy, or task state.
Agent Payments Protocol
AP2The Agent Payments Protocol is an open protocol for expressing and verifying a user's authorization when an AI agent initiates a payment.
agent protocol compliance evaluation
AI agent protocol compliance evaluation tests whether an agent follows the required message, state and authorization rules of an external protocol.
agent scope isolation
AI agent scope isolation technically separates each agent's accessible work, tools and data from resources outside its role.
agent self-replication
Agent self-replication is the proposed ability of an AI agent to create additional running copies of itself across available computing environments.
agent self-testing
Agent self-testing is an AI agent's use of tests or direct inspection to check whether its own work behaves as intended.
agent skill chaining
Agent skill chaining connects reusable agent skills so the output or completion of one procedure supports the next.