data transformation pipeline
A data transformation pipeline converts data through a repeatable sequence of cleaning, restructuring, enrichment, validation, and delivery steps.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 581–600 of 1136 terms
Clear filtersdebugging
Debugging is the process of finding why software behaved incorrectly and checking that a correction addresses the cause.
decentralized AI compute
Decentralized AI compute pools processing capacity from independent machines so model workloads are not limited to one cloud provider or data-center operator.
decentralized compute
Decentralized compute provides processing capacity through many independently operated machines or providers instead of one central infrastructure owner.
decision threshold
A decision threshold is a cutoff that converts a score or estimate into a choice to act, reject, classify or abstain.
declarative interface
A declarative interface describes the desired interface structure and rules while trusted software decides how to render them.
deductive reasoning
Deductive reasoning derives conclusions that follow logically from stated premises and valid rules of inference.
defensive AI
Defensive AI applies AI to detect, analyze, contain and recover from cyber threats within authorized systems.
demand flexibility
Demand flexibility is the ability to change when or how much electricity a facility uses while still meeting its essential needs.
demand response
Demand response adjusts electricity use in reaction to grid conditions, prices, or reliability needs so supply and demand remain better balanced.
dense model
A dense AI model activates its full set of model parameters for each input token rather than selecting only a subset of expert components.
deployment engineering
AI deployment engineering adapts, integrates, secures, monitors, and operates AI systems in real organizational workflows.
deployment ownership
AI deployment ownership assigns continuing responsibility for an AI system's production behavior, users and outcomes after release.
depth estimation
Depth estimation infers how far objects or image regions are from a viewpoint using visual or other sensor information.
design friction
Design friction is unnecessary effort, confusion, delay, or interruption that makes a product workflow harder to complete.
design token
A design token is a named, reusable representation of a design decision such as a color, spacing value, type scale, radius, or motion duration.
development pacing
Development pacing is the deliberate choice of how quickly AI research, capability releases, and deployment should proceed.
development server
A development server runs an application in a local or test-oriented mode that supports rapid editing, previewing, and debugging before production deployment.
differential testing
Differential testing runs the same inputs through two or more implementations and compares their outputs to reveal behavioral differences and possible defects.
distributed AI inference
Distributed AI inference uses multiple networked machines to serve model requests instead of relying on a single computer or centralized provider.