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.

3,885 terms

MLOps & Infrastructure

DevOps

DevOps is a collaborative approach that integrates software development and IT operations to improve the speed and quality of software delivery.

Other

DevOps Security

DevOps Security is the practice of integrating security measures and protocols into the DevOps software development lifecycle to ensure safe and compliant delivery of applications.

Other

Dialogue Consistency

Dialogue consistency is the practice of maintaining coherent, believable, and uniform speech patterns for characters throughout a conversation or narrative.

Generative AI

Dialogue Generation

Dialogue Generation is the process by which computer programs create natural, coherent conversations between humans and machines or between virtual agents.

Other

Dialogue Management

Dialogue Management is the process by which a system controls the flow and context of conversation between a user and an AI or chatbot.

Other

Dictation

Dictation is the process of speaking aloud to have your words transcribed into written text, either manually or through software.

Other

Dictation Software

Dictation software is a computer program that converts spoken words into written text automatically.

Data & Analytics

Difference

Difference is the way two or more things are not the same, highlighting their distinct qualities or features.

Computer Vision

Difference of Gaussians

Difference of Gaussians is an image processing technique that enhances edges by subtracting one blurred version of an image from another, using different Gaussian blur levels.

Reinforcement Learning

Differential Game

Differential game is a mathematical framework where multiple players make decisions over time, influencing a system described by differential equations to optimize competing objectives.

Data & Analytics

Differential Privacy

Differential Privacy is a privacy-preserving technique that ensures individual data cannot be identified when aggregated data is shared or analyzed.

Generative AI

Diffusion Model

Diffusion Model is a type of generative algorithm that creates data by simulating a gradual noising and denoising process to capture complex data distributions.

Other

Diffusion Models

Diffusion models are a class of generative algorithms that create data by gradually transforming random noise into meaningful output through a stepwise refinement process.

Generative AI

Digital Art

Digital Art is artwork created or enhanced using digital technology, such as computers, software, and digital tools.

Other

Digital Brain

Digital Brain is a technology or system designed to simulate human cognitive processes using digital tools and artificial intelligence.

Other

Digital Character

Digital Character is a computer-generated persona used to represent a person or entity in virtual environments and digital media.

AI Ethics

Digital Divide

Digital Divide is the gap between individuals or communities that have access to modern information and communication technologies and those that do not.

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.