news aggregation
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AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 781–800 of 1095 terms
Clear filtersno-code model training
No-code model training uses a visual interface and guided settings to prepare data, configure training, run jobs, and evaluate AI models without requiring users to write training code.
non-disclosure agreement
NDAA non-disclosure agreement is a contract that restricts how specified confidential information may be shared or used.
object permanence
Object permanence in generated video is the preservation of an object's identity and state when it moves, becomes hidden, or leaves and re-enters the frame.
objective alignment
Objective alignment is the degree to which an AI system's behavior successfully advances the specific goal it was given.
observable software outcome
An observable software outcome is a result that can be inspected or measured independently of the developer or agent reporting it.
off-chain voucher
An off-chain voucher is a signed or otherwise verifiable claim representing a small payment obligation without immediately recording the final transfer on a blockchain.
on-device AI
On-device AI runs AI models directly on a phone, computer, vehicle, or other local hardware instead of sending every task to a remote server.
on-site generation
On-site generation is producing electricity at or near the facility that will use it.
one-shot imitation learning
One-shot imitation learning teaches an AI system to attempt a new task from a single demonstration rather than many task-specific examples.
one-shot learning
One-shot learning is the ability of a model to recognize or perform a new task after receiving only one labeled example or demonstration.
one-shot prompting
One-shot prompting asks an AI system to complete a task from one initial instruction without iterative correction.
one-shot robot learning
One-shot robot learning aims to teach a robot a new behavior from a single demonstration or very small number of examples.
one-sided z-test
A one-sided z-test evaluates whether an observed statistic is significantly greater than or less than a value expected under a null hypothesis.
one-to-one personalization
One-to-one personalization adapts an experience for one individual and their current context instead of assigning them only to a predefined audience segment.
open-source AI agent
An open-source AI agent is an agent whose implementation is published under a license that permits inspection, use, and modification.
open-source robot
An open-source robot publishes reusable software and often hardware design information so developers can inspect, modify, and extend the platform under stated licenses.
operational technology cybersecurity
Operational technology cybersecurity protects systems that monitor or control physical equipment and industrial processes.
opportunity cost
Opportunity cost is the value of the best alternative given up when a choice is made.
opportunity identification
Opportunity identification finds valuable problems or unmet needs that become practical to address when AI changes cost, speed, or capability.