data synchronization
Data synchronization keeps related information consistent across systems by propagating and reconciling changes according to defined rules.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 381–400 of 705 terms
Clear filtersdecentralized artificial intelligence compute
Decentralized AI compute pools processing capacity from independent machines so model workloads are not limited to one cloud provider or data-center operator.
defense in depth
Defense in depth uses multiple independent preventive, detective, and responsive security controls so one failure does not expose the whole system.
defensive artificial intelligence
AI-enabled defensedefensive AIDefensive AI applies AI to detect, analyze, contain and recover from cyber threats within authorized systems.
dense artificial intelligence model
dense AI modelA 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 ownershipproduction AI ownershipAI deployment ownership assigns continuing responsibility for an AI system's production behavior, users and outcomes after release.
design system
A design system is a maintained collection of principles, tokens, components, patterns, and documentation for creating consistent interfaces.
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.
developer-funded infrastructure
Developer-funded infrastructure is public or shared infrastructure paid for wholly or partly by the developer whose project creates the need.
dexterous robotic manipulation
Dexterous robotic manipulation is precise, adaptable control of hands or grippers for objects that require coordinated motion, force and adjustment.
differential testing
Differential testing runs the same inputs through two or more implementations and compares their outputs to reveal behavioral differences and possible defects.
diffusion model
A diffusion model generates or transforms data by learning to reverse a gradual noising process, often through a sequence of denoising steps.
distributed artificial intelligence inference
Distributed AI inference uses multiple networked machines to serve model requests instead of relying on a single computer or centralized provider.
documentation index
A documentation index is a structured directory of documentation pages that helps people and software locate the authoritative resource for a topic, task, version, or component.
domain-specific artificial intelligence model fine-tuning
domain-specific AI fine-tuningDomain-specific AI model fine-tuning adapts a pretrained model using examples from a particular field, workflow or organization.
drug target identification
Drug target identification finds a biological molecule or process whose modification may produce a useful therapeutic effect.
dynamic artificial intelligence model quantization
dynamic AI model quantizationDynamic AI model quantization applies different precision choices according to model components or runtime values rather than using one uniform format everywhere.
eight-bit artificial intelligence model quantization
Q8Eight-bit AI model quantization uses roughly eight bits of precision to reduce model size while retaining more numerical detail than four-bit versions.
embodied artificial intelligence
embodied AIEmbodied AI is AI that perceives and acts through a physical or simulated body while interacting with an environment.
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