contrastive learning
Contrastive learning trains an AI model to place matching examples closer together and nonmatching examples farther apart in its learned representation.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 541–560 of 1136 terms
Clear filterscontrol plane
An AI control plane observes AI activity and applies centralized policy without owning the application's primary task logic.
controlled generalization
Controlled generalization aims to make an AI model apply learned behavior to new cases in a predictable and bounded way.
copilot
An AI copilot is an interactive assistant that supports a person during a task while the person remains in control of each important step.
cost ledger
An AI cost ledger is a durable record of attributed model, tool and compute costs across AI activity.
counterexample generation
Counterexample generation searches for a specific case that disproves a rule's claimed coverage or exposes an unintended outcome.
creative direction
AI creative direction guides generative tools toward a coherent concept, visual language and audience effect.
credential injection
Credential injection supplies authorization to a bounded request at execution time without exposing the underlying secret directly to the agent or application process.
credential proxy
A credential proxy holds real credentials and performs or signs authorized requests without exposing those credentials to the calling agent.
credential vault
A credential vault protects sensitive tokens, keys, and passwords while allowing narrowly authorized systems to use them.
credit assignment
Credit assignment is the problem of determining which parts of an AI system's behavior or computation contributed to an outcome, so learning can adjust them appropriately.
critic agent
A critic agent is an AI component that reviews another agent's work and provides feedback for correction or improvement.
critical capability threshold
A critical capability threshold is a predefined evaluation level indicating that an AI model has reached a capability with serious risk implications.
cross-domain reasoning
Cross-domain reasoning connects knowledge and methods from different fields to analyze a problem or propose an explanation.
cross-platform tracking
Cross-platform tracking links a person's activity across different apps, websites, devices, services, or accounts.
cross-session agent messaging
Cross-session agent messaging lets separate AI-agent sessions exchange updates, requests, or coordination information while work is active.
curriculum learning
Curriculum learning trains an AI model on examples or tasks arranged so that learning progresses from easier foundations to harder demands.
customer discovery
AI customer discovery investigates users, workflows and constraints to find problems where AI can create measurable value.
cyber attack surface
A cyber attack surface is the complete set of reachable systems, interfaces, identities and weaknesses that could provide a path into an organization.
cyber threat prioritization
Cyber threat prioritization ranks security risks by factors such as likelihood, impact, exposure and the effectiveness of available controls.