generative interface
A generative interface uses a model to assemble or adapt interface elements for a particular request and context.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 641–660 of 1130 terms
Clear filtersgeospatial AI
Geospatial AI applies AI methods to location-based data such as maps, satellite imagery, terrain, climate records and movement patterns.
Git blob object
A Git blob object stores the content of a file without its file name or directory location.
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.
Git object model
The Git object model stores repository history as content-addressed commits, trees, blobs and annotated tags connected by hashes.
Git packfile
A Git packfile is a compressed container that stores many Git objects together, often using delta compression for efficient transfer and storage.
Git tree object
A Git tree object represents a directory by listing file names, modes and object IDs for blobs or nested trees.
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.
goal drift
Goal drift is an unintended change in the objective or priorities an AI system pursues as it learns or operates over time.
golden dataset
A golden dataset is a curated collection of examples with trusted labels or expected outcomes used as a stable reference for evaluation.
graphics processing unit
GPUA graphics processing unit is a highly parallel processor that performs many similar numerical operations efficiently, making it important for AI workloads.
graphics processing unit cluster
A graphics processing unit cluster is a group of networked computers whose graphics processors work together on large computing workloads.
graphics processing unit communication bottleneck
A graphics processing unit communication bottleneck occurs when moving or synchronizing data between processors takes longer than the useful computation it supports.
grounded AI agent
A grounded AI agent bases its answers and actions on relevant, verifiable information rather than relying only on model memory or unsupported inference.
hard negative
A hard negative is a training example that looks relevant to an AI model but is actually the wrong match for the task.
hard red-list language model watermarking
Hard red-list language model watermarking forbids one keyed subset of tokens and allows sampling only from the complementary preferred set.
hardware-aware code optimization
Hardware-aware code optimization adapts algorithms, memory access, scheduling, and communication to the real characteristics of the target processor and system.
hardware-bound system
A hardware-bound system is software designed around a particular physical device, sensor, controller, or machine.
hardware-software co-design
Hardware-software co-design develops AI hardware and software together so each is optimized around the needs and constraints of the other.
headless application programming interface
A headless application programming interface exposes an application's data or operations independently of its graphical user interface so another program can use them directly.