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

Data & Analytics

Domo

Domo is a cloud-based business intelligence platform that enables organizations to visualize data and make informed decisions through real-time analytics and interactive dashboards.

Deep Learning & Neural Networks

Double DQN

Double DQN is a variant of the Deep Q-Network (DQN) that aims to reduce overestimation bias in reinforcement learning by using two separate estimators.

Computer Vision

Downsampling

Downsampling is the process of reducing the resolution or data size of a digital signal or dataset to simplify analysis or improve processing efficiency.

Generative AI

DPM++ 2M Karras

DPM++ 2M Karras is an advanced denoising algorithm used in generative AI models to improve image quality by efficiently refining noisy data during the generation process.

Generative AI

DPM++ SDE Karras

DPM++ SDE Karras is an advanced diffusion probabilistic model technique designed to improve image generation by combining stochastic differential equations with Karras-style noise scheduling.

Generative AI

DPM2

DPM2 is a digital performance management tool designed to monitor, analyze, and optimize online marketing campaigns and website activities.

Natural Language Processing (NLP)

Dravidian

Dravidian refers to a family of languages predominantly spoken in southern India and parts of eastern and central India, as well as the people who speak these languages.

Other

Drawing Prompt

A drawing prompt is a creative stimulus or idea designed to inspire artists to produce artwork or sketches.

Generative AI

DreamBooth

DreamBooth is a deep learning model technique that enables personalized text-to-image generation by fine-tuning on a small set of specific images.

Generative AI

DreamFusion

DreamFusion is a cutting-edge AI technique that generates 3D models from text descriptions, enabling intuitive and efficient 3D content creation.

Data & Analytics

Drift Detection

Drift detection is the process of identifying changes in data patterns that can affect the performance of machine learning models over time.

Other

Driver Behavior Analytics

Driver Behavior Analytics is the process of collecting and analyzing data on how drivers operate vehicles to improve safety, efficiency, and compliance.

Other

DRM

DRM is Digital Rights Management, a technology used to control how digital content is accessed, used, and distributed.

AI Agents & Systems

Drone

A drone is an unmanned aerial vehicle (UAV) that can be remotely controlled or fly autonomously for various applications.

Generative AI

Drug Discovery

Drug discovery is the process of identifying and developing new medications to treat diseases and improve health outcomes.

Other

Dry EEG Sensors

Dry EEG sensors are devices that measure brain activity without the need for conductive gels or liquids, using dry electrodes for easier and faster application.

Other

Dual AI

Dual AI is an approach that combines two artificial intelligence systems working collaboratively to enhance problem-solving, decision-making, or automation tasks.

AI Ethics

Dual Use

Dual Use is the capability of a product, technology, or information to serve both civilian and military applications.

Other

Duckiebot

Duckiebot is a small, autonomous robot used for research and education in robotics, computer vision, and autonomous driving.

Deep Learning & Neural Networks

Dueling DQN

Dueling DQN is an advanced neural network architecture used in deep reinforcement learning that separates state value and action advantage streams to improve decision-making efficiency.

AI Agents & Systems

Dutch Auction

Dutch Auction is a bidding process where the auctioneer starts with a high asking price that is lowered until a participant accepts the price.

Reinforcement Learning

Dyna-Q

Dyna-Q is a reinforcement learning algorithm that combines direct learning from experience with planning using a learned model of the environment.

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.