data center
An AI data center is a facility designed to provide the dense computing, networking, power and cooling used by AI workloads.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 101–120 of 705 terms
Clear filtersdomain knowledge
Domain knowledge is specialized understanding of the concepts, rules, practices and judgment used within a particular field or business activity.
emergent multi-agent behavior
Emergent multi-agent behavior is a system-level pattern that arises from interactions among agents even though no single agent was explicitly programmed to produce it.
energy-efficient artificial intelligence inference
energy-efficient AI inferenceEnergy-efficient AI inference produces useful model outputs while minimizing the electricity consumed by computation, memory, networking, and cooling.
generative artificial intelligence
GenAIgenerative AIGenerative AI creates new text, images, audio, video, code or other content from learned patterns and supplied context.
GLM 5.3 Flash
GLM 5.3 Flash is an open-weight multimodal mixture-of-experts model from Z.ai designed to combine a large total capacity with relatively low active compute per token.
go-to-market orchestration
AI GTM orchestrationAI go-to-market orchestration coordinates customer data, decisions, automated actions, human tasks, and communication channels around a commercial outcome.
grounded generation
grounded AI generationGrounded generation produces an answer from supplied, retrievable, and attributable evidence rather than relying only on a model's learned patterns.
hallucination
AI hallucinationAn AI hallucination is an unsupported or false output presented as if it were grounded in facts or source material.
immutable data store
An immutable data store preserves prior records and represents changes by appending new entries instead of rewriting history.
inference
AI inference is the process of running a trained model on new input to produce a prediction, classification, generated response or action.
inference speed
AI inference speed measures how quickly a trained model begins and continues producing outputs for a request.
inference throughput
AI inference throughputAI inference throughput measures how much model-serving work a system completes per unit of time.
infrastructure capital risk
AI infrastructure capital riskAI infrastructure capital risk is the possibility that long-lived compute investments or commitments lose value because demand, pricing, technology, or utilization changes.
iterative artificial intelligence code generation
iterative AI code generationIterative AI code generation repeatedly generates, compiles, tests, measures, and revises code using feedback from the development environment.
long-context artificial intelligence model
A long-context AI model can process substantially more tokens in one request, allowing it to work across long documents, conversations, or codebases.
low-latency artificial intelligence inference
fast AI inferenceLow-latency AI inference produces a model response with minimal delay after a request is submitted.
memory bandwidth
RAM bandwidthMemory bandwidth is the rate at which data can be transferred between memory and a processor.
model memory footprint
An AI model memory footprint is the amount of memory required to load and run the model and its inference state.
model output
AI outputAI model output is the text, image, audio, code, prediction or other result a model produces from its input and learned patterns.
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