AI Terminology

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

Showing 641–660 of 1136 terms

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  1. 1 video

    fuzzing

    Fuzzing is an automated software-testing technique that tries many varied inputs to reveal failures such as crashes, hangs or broken correctness checks.

  2. 1 video

    gameplay testing

    Gameplay testing checks whether a game's controls, rules, feedback and player experience work as intended.

  3. 1 video

    gated residual connection

    A gated residual connection uses a learned gate to control how much newly computed information changes the representation carried through a neural-network layer.

  4. 1 video

    generalist robotics model

    A generalist robotics model is trained to support many physical tasks, objects and environments instead of one narrowly programmed behavior.

  5. 1 video

    generalization

    Generalization is an AI system's ability to apply what it learned to new examples and conditions that were not part of its training experience.

  6. 1 video

    generation consistency

    Generation consistency is the ability of a generative model to produce reliably usable results across repeated runs and related prompts.

  7. 1 video

    generative AI platform

    A generative AI platform provides shared infrastructure, models, gateways, evaluation and governance capabilities for teams building generative AI products.

  8. 1 video1 specialised term

    generative interface

    A generative interface uses a model to assemble or adapt interface elements for a particular request and context.

  9. 1 video1 general term

    geospatial AI

    Geospatial AI applies AI methods to location-based data such as maps, satellite imagery, terrain, climate records and movement patterns.

  10. 1 video1 general term

    Git blob object

    A Git blob object stores the content of a file without its file name or directory location.

  11. 1 video1 general term

    Git commit object

    A Git commit object records a repository snapshot by pointing to a tree, its parent commits and metadata such as author and message.

  12. 1 video3 specialised terms

    Git object model

    The Git object model stores repository history as content-addressed commits, trees, blobs and annotated tags connected by hashes.

  13. 1 video

    Git packfile

    A Git packfile is a compressed container that stores many Git objects together, often using delta compression for efficient transfer and storage.

  14. 1 video1 general term

    Git tree object

    A Git tree object represents a directory by listing file names, modes and object IDs for blobs or nested trees.

  15. 1 video

    Git worktree

    A Git worktree is an additional checked-out working directory linked to one repository, allowing separate branches to be edited side by side.

  16. 1 video

    goal drift

    Goal drift is an unintended change in the objective or priorities an AI system pursues as it learns or operates over time.

  17. 1 video

    golden dataset

    A golden dataset is a curated collection of examples with trusted labels or expected outcomes used as a stable reference for evaluation.

  18. 1 video1 general term

    graphics processing unit

    GPU

    A graphics processing unit is a highly parallel processor that performs many similar numerical operations efficiently, making it important for AI workloads.

  19. 1 video1 general term · 1 specialised term

    graphics processing unit cluster

    A graphics processing unit cluster is a group of networked computers whose graphics processors work together on large computing workloads.