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

AI Agents & Systems

Cooperation

Cooperation is the process where individuals or groups work together towards a common goal by sharing resources, information, and efforts.

Reinforcement Learning

Cooperative RL

Cooperative RL is a type of reinforcement learning where multiple agents work together to achieve a shared goal by coordinating their actions and learning strategies.

AI Agents & Systems

Coordination

Coordination is the process of organizing people or activities to work together efficiently towards a common goal.

Deep Learning & Neural Networks

Copilot

Copilot is an AI-powered tool designed to assist users by automating tasks and providing intelligent suggestions in various applications.

AI Agents & Systems

CoppeliaSim

CoppeliaSim is a versatile robot simulation software used for designing, testing, and validating robotic systems in a virtual environment.

Generative AI

Copyright

Copyright is a legal right that grants the creator of original work exclusive control over its use and distribution.

Other

Copywriting AI

Copywriting AI is artificial intelligence technology designed to generate, optimize, or assist in creating written marketing and advertising content.

Other

Copywriting Automation

Copywriting automation is the use of software tools and artificial intelligence to create marketing content with minimal human input.

Natural Language Processing (NLP)

CoQA

CoQA is a Conversational Question Answering dataset designed to evaluate a model's ability to understand and generate conversational responses.

Other

Core ML

Core ML is Apple’s machine learning framework that enables developers to integrate trained models into iOS, macOS, and other Apple platform apps for efficient on-device inference.

Computer Vision

Corner Detection

Corner detection is a technique used in computer vision to identify points in an image where the direction of intensity changes sharply.

Natural Language Processing (NLP)

Corpus

A corpus is a structured and curated collection of texts—written or spoken—used for linguistic research, natural language processing (NLP), and training machine learning models.

Data & Analytics

Correlation

Correlation is a statistical measure that describes the strength and direction of a relationship between two variables.

Deep Learning & Neural Networks

CosFace

CosFace is a deep learning approach used to improve face recognition accuracy by optimizing the margin between classes in the cosine space.

Machine Learning

Cost Function

A cost function is a mathematical formula used to measure the error or "cost" of a model's predictions compared to the actual data.

MLOps & Infrastructure

Cost Management

Cost Management is the process of planning, monitoring, and controlling expenses to ensure a project or business operates within its budget.

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.