AI Terminology

Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.

Showing 201–220 of 1136 terms

Clear filters
  1. 4 videos

    agent authority budget

    An AI agent authority budget bounds what an agent may do using limits across scope, rate, impact, cost and reversibility.

  2. 4 videos

    agent cost governance

    AI agent cost governance attributes, limits and optimizes resource spending across complete AI agent runs.

  3. 4 videos

    agent recovery

    AI agent recovery restores a workflow to a safe, known state after an agent error, interruption, or failed run.

  4. 4 videos

    agent reliability

    AI agent reliability is the degree to which an agent consistently completes intended work correctly and safely under expected conditions.

  5. 4 videos

    agent session isolation

    Agent session isolation keeps each AI agent's working conversation and state separate unless information is deliberately handed across a boundary.

  6. 4 videos

    agent skill audit

    An agent skill audit examines an AI agent skill for unsafe instructions, risky code, excessive permissions, data exposure, and dependency problems.

  7. 4 videos

    agentic workflow abstraction

    Agentic workflow abstraction hides low-level model, tool, and coordination steps behind a simpler goal-oriented interface.

  8. 4 videos1 specialised term

    AI-generated content detection

    AI-generated content detection estimates whether material contains evidence associated with AI generation by examining watermarks, statistical features, provenance, or other signals.

  9. 4 videos

    application programming interface key

    An application programming interface key is a secret credential that identifies and authorizes software requests to an API under a particular account or project.

  10. 4 videos19 specialised terms

    artificial intelligence

    AI

    AI is the field of building computer systems that perform tasks associated with human intelligence, including perception, language, learning, reasoning and decision support.

  11. 4 videos

    benchmark variance

    Benchmark variance is the amount an evaluation score changes across samples, runs, prompts, judges, settings, or random seeds.

  12. 4 videos2 general terms · 1 specialised term

    computational protein design

    Computational protein design uses software models to propose protein structures or sequences intended to perform a chosen biological function.

  13. 4 videos

    confidence calibration

    Confidence calibration measures whether an AI system's stated certainty matches how often its predictions or assumptions are actually correct.

  14. 4 videos

    customer relationship management

    CRM

    Customer relationship management organizes information and workflows for a company's interactions with customers, prospects, and other contacts.

  15. 4 videos3 specialised terms

    defense in depth

    Defense in depth protects an AI system with several independent security layers so one failure does not expose the whole workflow.

  16. 4 videos1 specialised term

    design system

    A design system is a maintained collection of principles, tokens, components, patterns, and documentation for creating consistent interfaces.

  17. 4 videos

    domain knowledge

    Domain knowledge is specialized understanding of the concepts, rules, practices and judgment used within a particular field or business activity.

  18. 4 videos1 general term

    episodic memory

    Episodic memory in AI stores records of specific past interactions or events so a system can retrieve experience associated with a particular situation.

  19. 4 videos1 specialised term

    evaluation tampering

    Evaluation tampering is an attempt by an AI system to alter the tests, evidence, tools, or scoring process used to judge its performance.

  20. 4 videos

    event-driven AI agent

    An event-driven AI agent reacts to typed events instead of following only one fixed workflow or schedule.