AI Glossary: 3,885 terms, defined

Plain-language definitions of the vocabulary used across machine learning, model architectures, tooling and AI safety. Every entry opens with a one-sentence definition, then explains where the term is used.

66 terms

Other

Optical Processing Unit

An Optical Processing Unit is a specialized hardware component that uses light-based technology to perform complex data processing tasks faster and more efficiently than traditional electronic processors.

Reinforcement Learning

Option

Option is a contract that gives the buyer the right, but not the obligation, to buy or sell an asset at a predetermined price within a specific time frame.

AI Agents & Systems

Oracle AI

Oracle AI is a suite of artificial intelligence technologies and services developed by Oracle to enhance data analysis, automate business processes, and improve decision-making.

Computer Vision

ORB

ORB is an acronym for Oriented FAST and Rotated BRIEF, a computer vision algorithm used for feature detection and description.

AI Agents & Systems

Orchestration

Orchestration is the automated coordination and management of complex processes and workflows across multiple systems and services.

Natural Language Processing (NLP)

ORQA

ORQA is a neural network-based model designed for open-domain question answering that retrieves answers from a large corpus of text.

AI Agents & Systems

Orthogonality Thesis

Orthogonality Thesis is the philosophical idea that an artificial intelligence's level of intelligence and its goals or motivations are independent and can vary freely.

Computer Vision

Otsu’s Method

Otsu's Method is an algorithm used to automatically perform image thresholding by finding the optimal threshold that separates foreground and background pixels.

AI Ethics

Outer Alignment

Outer alignment is the degree to which an AI system's goals and behaviors align with the intended values and objectives set by its human designers and society at large.

Other

Outfit Generator

An outfit generator is a digital tool that creates clothing combinations based on user preferences, occasions, or style trends.

Generative AI

Outpainting

Outpainting is a digital image editing technique that extends the boundaries of an existing image by generating new content that blends seamlessly with the original.

Deep Learning & Neural Networks

Overfitting

Overfitting occurs when a machine learning model learns the training data too well, including noise and irrelevant details, causing poor performance on new data.

Machine Learning

Oversampling

Oversampling is a technique used in data analysis and machine learning to balance an imbalanced dataset by increasing the number of minority class samples.

AI Agents & Systems

OWL-S

OWL-S is an ontology-based framework designed to describe and automate web services for seamless discovery, invocation, and composition.

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About the TiorAI AI Glossary

The TiorAI AI Glossary is a free reference of 3,885 artificial intelligence terms, each defined in plain English. Every entry opens with a one-sentence definition that stands on its own, then explains where the term is actually used and how it sits next to the ideas around it. There is nothing to sign up for and nothing to download: each definition has its own page and its own URL, so a term you needed once can be linked to and found again.

Three ways to find a term

They combine, and none of them cancels the others. The A to Z strip narrows the index to a single initial, with the # key collecting the entries that begin with a digit or a symbol and that no letter would reach. The category filter cuts the glossary to one of sixteen subject areas, among them Machine Learning, Deep Learning and Neural Networks, Natural Language Processing, Computer Vision, Generative AI, Reinforcement Learning, AI Agents and Systems, MLOps and Infrastructure, Data and Analytics, and AI Ethics. The search field matches names and definitions, so a concept you can only half-name still surfaces. Every combination has its own URL, which means a narrowed view can be bookmarked or sent to a colleague.

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What the definitions cover

The vocabulary of modern AI, at the three depths people arrive needing. The fundamentals a first week runs into — model, parameter, training, inference, overfitting. The architecture behind current systems — transformers, attention, embeddings, diffusion, retrieval-augmented generation. And the operational and governance language that turns up in a procurement review or a policy document — fine-tuning, hallucination, alignment, model drift, bias. Terms are defined as they are used in practice rather than as they appear in a paper abstract.

Definitions that answer first

Each entry leads with the answer. The opening sentence says what the term means without assuming the rest of the page, which is what makes an entry useful to someone who arrived from a search with exactly one question. The explanation underneath is for the reader who wants more than that: what the idea is commonly confused with, what it looks like in practice, and which neighbouring terms are worth reading next. The card in the index above shows the opening of that definition, so you can tell from the results whether an entry is the one you want.

Where the glossary fits

A glossary answers what something means; it is not the place that tells you what to do about it. Where a concept has products behind it, the AI tools directory is where they are listed, and where it has a working instruction behind it, the prompt library is where that lives. Entries link out to those when the link earns its place, and the glossary stays what a glossary is — the definitions, ordered so they can be browsed, and written so a single one can be read on its own.

Using this glossary

How is the glossary ordered?

Alphabetically by term name, which is the order a reference work is browsed in and the order every page of this archive has always used. The sort menu can switch it to reverse alphabetical, or to recently added and recently updated if you want to see what has changed.

What does the letter strip do?

It narrows the index to terms whose name begins with that character, and it keeps whatever else you have set — a category filter, a search, a sort — so you can move between letters without starting again. The # entry collects the terms that begin with a digit or a symbol, which no letter would reach.

Why do some terms have no specific category?

Entries that span several areas, or that predate the current category set, sit under “Other”. It holds a large share of the glossary, so the filter is most useful for narrowing to a named topic rather than for excluding one.

What is in a glossary entry?

A short definition in plain language, then a longer explanation of where the term is used and how it relates to neighbouring concepts. The card above shows the opening of that definition; the entry itself also links to related terms and, where relevant, to the AI tools that implement the idea.

How do I search the glossary?

The field at the top matches term names and definitions, so a concept you can only half-name will usually surface. Search combines with the category filter and the letter strip, and every combination has its own URL, so a narrowed view can be bookmarked or shared.