AI Terminology

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

2 videos
data center water consumption
Data center water consumption is water used directly for facility cooling or indirectly through the electricity it consumes.
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data pipeline
A data pipeline moves information through ordered collection, transformation and delivery steps for use by software or AI.
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data retention policy
An AI data retention policy defines which inputs, outputs and logs are stored, for how long and for what purpose.
2 videos1 general term
decentralized multi-robot control
Decentralized multi-robot control lets each robot make local decisions while coordinating with peers rather than receiving every action from one controller.
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design constraint
A design constraint is a requirement or boundary that narrows acceptable visual or interaction choices for a product.
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developer-funded infrastructure
Developer-funded infrastructure is public or shared infrastructure paid for wholly or partly by the developer whose project creates the need.
2 videos1 specialised term
dexterous robotic manipulation
Dexterous robotic manipulation is precise, adaptable control of hands or grippers for objects that require coordinated motion, force and adjustment.
2 videos1 general term
diffusion model
A diffusion model generates or transforms data by learning to reverse a gradual noising process, often through a sequence of denoising steps.
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digital labor
AI digital labor is productive work performed by AI systems that can complete tasks or roles ordinarily carried out by people.
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disposable prototype
A disposable prototype is a temporary implementation built to test an idea or learn quickly without becoming the lasting production system.
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domain expert
SME
A domain expert is a person with deep practical knowledge of a specific field who can judge context and consequences within that field.
2 videos2 specialised terms
dual-use AI
Dual-use AI describes AI capabilities that can support beneficial applications and harmful or unauthorized uses.
2 videos1 general term
end-to-end AI agent execution
End-to-end AI agent execution lets an agent carry a task from initial context through actions, verification, and a maintained operational result.
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entity resolution
Entity resolution identifies records from different sources that refer to the same real-world person, company, account, or object.
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environmental standard
An environmental standard sets measurable limits, methods or performance requirements for environmental effects.
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failure clustering
AI failure clustering groups similar model or agent failures so teams can identify recurring causes, prioritize fixes, and measure whether changes reduce the problem.
2 videos1 general term
four-bit AI model quantization
Q4
Four-bit AI model quantization stores model values at roughly four bits of precision to prioritize compact size and efficient inference.
2 videos1 general term · 1 specialised term
go-to-market automation
AI go-to-market automation uses models and agents to scale repeatable sales, marketing, and revenue-operations research or execution within governed business workflows.
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idea refinement
Idea refinement uses structured perspectives, evidence, and feedback to make an initial concept clearer, stronger, or more practical.
2 videos1 specialised term
in-context learning
In-context learning is the ability of a model to infer how to perform a task from examples or instructions supplied in its current context.