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.

82 terms

Data & Analytics

Nagios

Nagios is an open-source monitoring system designed to oversee IT infrastructure, alerting users to issues in networks, servers, and applications.

Machine Learning

Naive Bayes

Naive Bayes is a probabilistic machine learning algorithm used for classification tasks based on applying Bayes' theorem with strong independence assumptions between features.

Generative AI

Name Generation

Name generation is the process of creating unique and relevant names for brands, products, or entities using creative techniques or algorithms.

Other

Narrative AI

Narrative AI is artificial intelligence technology designed to generate, enhance, or analyze stories and narratives in a human-like, coherent manner.

Generative AI

Narrative Design

Narrative design is the craft of creating structured storytelling elements that shape user experiences in games, apps, and digital content.

Other

Narrative Generation

Narrative Generation is the automated creation of coherent and engaging stories or texts using artificial intelligence and natural language processing techniques.

Reinforcement Learning

Nash Equilibrium

Nash Equilibrium is a concept in game theory where no player can benefit by changing their strategy while the other players keep theirs unchanged.

Other

Natural Language Generation

Natural Language Generation is a technology that automatically produces human-like text from data or structured information.

Other

Natural language programming

Natural language programming is a method of writing computer programs using human language-like commands instead of traditional code syntax.

Other

Natural Language Search

Natural Language Search is a search method that allows users to enter queries in everyday, conversational language rather than using specific keywords or operators.

Other

Natural Language Understanding

Natural Language Understanding is a branch of artificial intelligence that enables computers to interpret, analyze, and comprehend human language in a meaningful way.

Other

Nearest Neighbor Search

Nearest Neighbor Search is a computational method used to find the closest data points to a given query point within a dataset.

AI Ethics

Negative Externalities

Negative externalities are costs imposed on third parties or society that result from an economic activity but are not reflected in the market price.

Generative AI

Negative Prompt

A negative prompt is an instruction in AI-generated content that specifies what should be excluded or avoided in the output.

AI Agents & Systems

Negotiation

Negotiation is a strategic discussion process where two or more parties aim to reach a mutually beneficial agreement.

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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.