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.

986 terms

Other

AI Emoji

AI Emoji is a digitally generated or enhanced emoji created using artificial intelligence technologies to express emotions or concepts more dynamically.

Other

AI Emotion Detection

AI Emotion Detection is the technology that enables artificial intelligence systems to identify and interpret human emotions from data inputs such as facial expressions, voice tone, or text.

Other

AI Emotional Support

AI Emotional Support is the use of artificial intelligence technologies to provide empathetic interactions and mental wellness assistance to users.

Other

AI Engagement

AI Engagement is the interaction between users and artificial intelligence systems designed to enhance user experience and achieve specific business goals.

Other

AI Enhancement

AI enhancement is the process of improving systems, products, or services by integrating artificial intelligence technologies to increase efficiency, accuracy, and user experience.

Other

AI Essay Grading

AI essay grading is the automated evaluation of written essays using artificial intelligence technologies to assess quality, coherence, and content.

Other

AI Essay Writer

AI Essay Writer is a software tool that uses artificial intelligence to generate, assist, or enhance essay writing by creating coherent and contextually relevant text.

AI Ethics, Safety & Governance

AI Ethics

AI ethics is the set of principles and practices that guide the responsible design, development, and use of artificial intelligence systems.

Other

AI Evaluation

AI evaluation is the process of assessing the performance, accuracy, and effectiveness of artificial intelligence systems to ensure they meet desired goals.

Other

AI Event Planning

AI Event Planning is the use of artificial intelligence technologies to streamline, optimize, and automate the organization and management of events.

Other

AI Exam Generation

AI Exam Generation is the automated creation of assessment questions and tests using artificial intelligence technologies.

Other

AI Exam Generator

AI Exam Generator is a software tool that uses artificial intelligence to automatically create customized exams and assessments.

Other

AI Explanation

AI Explanation is the process of making artificial intelligence decisions and processes understandable to humans through clear communication and interpretation.

Other

AI Face Aging

AI Face Aging is a technology that uses artificial intelligence to simulate the natural aging process on facial images, predicting how a person’s face might look as they grow older.

Other

AI Face Analysis

AI Face Analysis is a technology that uses artificial intelligence to detect, interpret, and understand human facial features and expressions from images or videos.

Other

AI Face Animation

AI Face Animation is the use of artificial intelligence technologies to create realistic and dynamic facial movements in digital characters or avatars.

Other

AI Face Detection

AI Face Detection is a technology that uses artificial intelligence to identify and locate human faces within digital images or video streams.

Other

AI Face Generation

AI face generation is the process of creating realistic human faces using artificial intelligence algorithms.

Other

AI Face Mapping

AI Face Mapping is a technology that uses artificial intelligence to analyze and create a detailed digital representation of human facial features.

Other

AI Face Swap

AI Face Swap is a technology that uses artificial intelligence to digitally replace one person's face with another in images or videos.

Other

AI Face Swapping

AI face swapping is a technology that uses artificial intelligence to digitally replace one person's face with another in images or videos.

Other

AI Facial Analysis

AI Facial Analysis is a technology that uses artificial intelligence to automatically detect, interpret, and assess human facial features and expressions.

Other

AI Facial Landmark Detection

AI Facial Landmark Detection is a technology that uses artificial intelligence to identify and locate key points on a human face for analysis and recognition purposes.

Other

AI Facial Recognition

AI Facial Recognition is an advanced technology that uses artificial intelligence to identify or verify a person’s identity by analyzing facial features in digital images or videos.

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.