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.

294 terms

Other

Cognitive Training

Cognitive training is a structured set of exercises designed to improve mental functions such as memory, attention, and problem-solving skills.

Data & Analytics

Cohort Analysis

Cohort Analysis is a method of analyzing the behavior and performance of a specific group of users segmented by shared characteristics over a defined period.

Natural Language Processing (NLP)

ColBERT

ColBERT is an advanced neural retrieval model designed to perform efficient and effective search by leveraging contextualized late interaction between query and document embeddings.

MLOps & Infrastructure

Cold Start

Cold Start is the challenge of making accurate recommendations or predictions when a system has little or no initial data about users or items.

Machine Learning

Cold Start Problem

The Cold Start Problem is a challenge in recommendation systems where new users or items lack sufficient data for accurate predictions.

AI Agents & Systems

Collaboration

Collaboration is the process where individuals or groups work together to achieve a common goal by sharing ideas, resources, and responsibilities.

Other

Collaborative AI

Collaborative AI is artificial intelligence designed to work alongside humans, enhancing teamwork and decision-making through shared tasks and interactions.

Machine Learning

Collaborative Filtering

Collaborative Filtering is a recommendation system technique that uses user behavior and preferences to predict and suggest items of interest to users.

AI Agents & Systems

Collaborative Robot

Collaborative robot is a type of robot designed to work safely alongside humans in shared workspaces, enhancing productivity and flexibility.

AI Agents & Systems

Collective Intelligence

Collective Intelligence is the shared knowledge and problem-solving ability that emerges from the collaboration and interaction of a group of individuals.

Computer Vision

Color Balance

Color balance is the process of adjusting the intensity of colors in images or videos to achieve natural and visually appealing results.

Computer Vision

Color Space

Color space is a specific organization of colors that allows for consistent representation and reproduction of color across different devices and media.

Other

Colorization

Colorization is the process of adding color to black-and-white images or videos to create a lifelike or enhanced visual experience.

Data & Analytics

Columnar Database

A columnar database is a type of database that stores data by columns rather than rows, optimizing query performance for analytical and read-heavy workloads.

Other

ComfyUI

ComfyUI is a user-friendly, modular interface designed to streamline and simplify complex AI workflow management.

AI Agents & Systems

Commitments

Commitments are firm promises or obligations to take specific actions or uphold certain responsibilities in personal, professional, or business contexts.

Reinforcement Learning

Competitive RL

Competitive RL is a branch of reinforcement learning where multiple agents learn and adapt strategies by competing against each other in a shared environment.

AI Ethics

Compliance

Compliance is the act of adhering to laws, regulations, standards, and ethical practices applicable to a business or individual.

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.