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

CouchDB

CouchDB is an open-source NoSQL database that stores data in JSON format and uses a flexible, distributed architecture for scalable web applications.

AI Ethics

Counterfactual Explanations

Counterfactual explanations are descriptions of how changing specific input features would alter the outcome of a decision-making model.

AI Ethics

Counterfactual Fairness

Counterfactual fairness is a fairness criterion in machine learning that ensures decisions remain unchanged in hypothetical scenarios where a protected attribute is altered.

Machine Learning

Covariate Shift

Covariate shift is a scenario in machine learning where the distribution of input data changes between the training phase and the application phase.

Generative AI

Creative AI

Creative AI is artificial intelligence designed to generate original ideas, content, or artwork by mimicking human creativity.

Other

Creative AI Tools

Creative AI tools are software applications powered by artificial intelligence designed to assist and enhance the creative process in fields like writing, design, music, and multimedia production.

Other

Creative Prompt

A creative prompt is a stimulus or idea designed to inspire original thinking and generate new content or solutions.

Other

Creative Writing AI

Creative Writing AI is artificial intelligence designed to generate original and imaginative written content such as stories, poems, or scripts.

Other

Creative Writing Prompt

A creative writing prompt is a starting idea or stimulus designed to inspire writers to produce original stories, poems, or other written works.

Generative AI

Creator Economy

Creator Economy is the digital ecosystem where independent content creators monetize their skills, audience, and creations through online platforms and tools.

Other

Crime Analytics

Crime Analytics is the process of collecting, analyzing, and interpreting crime data to identify patterns and support law enforcement decision-making.

Reinforcement Learning

Critic

A critic is a person who evaluates, analyzes, and offers opinions about creative works, performances, or ideas to inform and influence public perception.

Natural Language Processing (NLP)

Cross-Lingual Transfer

Cross-lingual transfer is an NLP technique where knowledge learned from one language is applied to improve performance in another, enabling AI models to function effectively across multiple languages—even those with limited training data.

Machine Learning

Cross-Validation

Cross-validation is a statistical method used to estimate the skill of machine learning models using different subsets of data.

Computer Vision

Crowd Counting

Crowd counting is the process of estimating the number of people in a specific area using technology such as image analysis or sensor data.

Generative AI

CryptoArt

CryptoArt is a form of digital artwork that is authenticated and traded using blockchain technology.

Computer Vision

CT Scan

A CT scan is a medical imaging technique that utilizes computed tomography to create detailed cross-sectional images of the body.

Deep Learning & Neural Networks

CTC Loss

CTC Loss is a loss function used in machine learning for training sequence-to-sequence models where output lengths can vary from input lengths.

Other

Curated Products

Curated products are carefully selected items assembled by experts or algorithms to meet specific customer needs or preferences.

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.