208 terms

Other

Personalization Engine

A personalization engine is a software tool that customizes digital content and user experiences based on individual preferences, behaviors, and data.

Other

Personalized Book

A personalized book is a customized storybook that incorporates specific details about the reader, such as their name, appearance, or interests, to create a unique and engaging reading experience.

Generative AI

Personalized Content

Personalized content is digital material tailored specifically to an individual user's preferences, behaviors, or demographics to enhance engagement and relevance.

Other

Personalized Music

Personalized music is tailored audio content designed to match an individual's preferences, mood, or context using algorithms and user data.

Computer Vision

Perspective Transformation

Perspective transformation is a geometric operation that changes the viewpoint of an image or scene to simulate a different angle or perspective.

AI Ethics

Persuasion

Persuasion is the art and science of influencing people's attitudes, beliefs, or behaviors through communication.

AI Agents & Systems

Petri Net

Petri Net is a mathematical modeling tool used to describe and analyze the flow of information or processes in systems with concurrent, asynchronous, or distributed activities.

Deep Learning & Neural Networks

PGD

PGD, or Preimplantation Genetic Diagnosis, is a technique used to identify genetic defects in embryos created through in vitro fertilization before pregnancy.

Generative AI

Phenaki

Phenaki is an advanced AI model designed to generate coherent and diverse video content from textual descriptions.

Other

Photo Colorization

Photo Colorization is the process of adding color to black-and-white photographs to create a lifelike, colored version.

Other

Photo Hosting

Photo hosting is a service that allows users to upload, store, and share digital images online.

Other

Photo Upscaling

Photo upscaling is the process of increasing the resolution and size of an image while preserving or enhancing its visual quality.

Computer Vision

Photogrammetry

Photogrammetry is the science of obtaining reliable information about physical objects and the environment through the process of recording, measuring, and interpreting photographic images.

AI Agents & Systems

PID Controller

A PID controller is a control loop mechanism that continuously calculates an error value and applies correction based on proportional, integral, and derivative terms to regulate a process.

Data & Analytics

Pie Chart

A pie chart is a circular graph divided into slices to visually represent the proportion of different categories within a whole.

Data & Analytics

Pig

A pig is a domesticated mammal known for its stout body, snout for digging, and importance in agriculture and food production.

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.