AI Terminology

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

Showing 401–420 of 705 terms

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  1. 1 video

    engram embedding layer

    An engram embedding layer is a lookup-based neural-network component that retrieves learned representations for common short token sequences without recomputing them through every model layer.

  2. 1 video

    ensemble model

    An ensemble model combines predictions from multiple models or model runs to improve accuracy, robustness, or uncertainty estimation compared with relying on one prediction alone.

  3. 1 video1 general term

    enterprise knowledge model adaptation

    enterprise AI knowledge adaptation

    Enterprise knowledge model adaptation makes an AI system more useful with an organization's private terminology, examples, documents and workflows.

  4. 1 video

    entity resolution

    Entity resolution identifies records from different sources that refer to the same real-world person, company, account, or object.

  5. 1 video

    environment variable

    An environment variable is a named value supplied to a running process outside its source code, often for deployment-specific configuration.

  6. 1 video

    environmental standard

    An environmental standard sets measurable limits, methods or performance requirements for environmental effects.

  7. 1 video1 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.

  8. 1 video

    evaluation awareness

    AI evaluation awareness

    AI evaluation awareness is a system's ability or tendency to infer that it is being tested and alter its behavior because of that inference.

  9. 1 video1 general term

    evaluation metric

    An AI evaluation metric is a defined measurement used to quantify a particular aspect of an AI system's performance.

  10. 1 video

    evaluation review set

    AI eval review set

    An AI evaluation review set is a manageable sample of model or agent cases selected for human annotation and quality analysis.

  11. 1 video

    evaluation rubric

    An evaluation rubric is a structured set of criteria and scoring guidance used to judge the quality of an output consistently.

  12. 1 video

    evaluation tampering

    AI evaluation tampering is an attempt by a model or agent to alter the task, evidence, scoring process, or monitoring data used to measure its behavior.

  13. 1 video

    experimental validation

    Experimental validation tests a prediction or hypothesis against observations produced by a controlled empirical method.

  14. 1 video

    exponential backoff

    Exponential backoff is a retry strategy that increases the delay between successive attempts, usually with randomness, to reduce pressure on a failing dependency.

  15. 1 video

    fill-or-kill order

    FOK

    A fill-or-kill order must be executed immediately and completely at acceptable prices or be canceled in full.

  16. 1 video1 general term

    flash artificial intelligence model

    flash AI model

    A flash AI model is optimized for fast, lower-cost responses while retaining enough capability for practical routine workloads.

  17. 1 video1 general term

    fluency

    AI fluency

    AI fluency is the practical ability to select, direct, evaluate and combine AI tools effectively within a specific role or domain.

  18. 1 video

    forecast calibration

    Forecast calibration measures whether stated confidence levels match the long-run frequency with which predicted outcomes occur.

  19. 1 video

    forecast claim tracker

    A forecast claim tracker records explicit predictions and updates their status against dated, attributable evidence without changing the original wording.

  20. 1 video

    forecast pace

    AI forecast pace

    AI forecast pace compares observed progress with the rate implied by a scenario's milestones and timeline.

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