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.

208 terms

AI Agents & Systems

Path Planning

Path planning is the process of determining an optimal route or sequence of movements from a start point to a goal within a given environment.

Other

Pattern Detection

Pattern Detection is the process of identifying recurring structures or trends within data to uncover meaningful information.

AI Fundamentals

Pattern Recognition

Pattern recognition is the process of identifying regularities and patterns in data using algorithms and statistical techniques.

AI Agents & Systems

PDDL

PDDL is the Planning Domain Definition Language used to describe planning problems and domains in automated planning systems.

Other

PDF Chatbot

PDF Chatbot is an AI-driven tool designed to interact with users by understanding and extracting information directly from PDF documents.

Other

PDF Summarization

PDF Summarization is the process of extracting key information and condensing the content of a PDF document into a concise summary.

Other

Peak Detection

Peak Detection is the process of identifying the highest points or local maxima in a data set or signal.

Computer Vision

Peak Signal-to-Noise Ratio

Peak Signal-to-Noise Ratio (PSNR) is a metric used to measure the quality of reconstructed or compressed images and videos by comparing the original and processed signals.

Deep Learning & Neural Networks

Perceptual Loss

Perceptual Loss is a technique used in deep learning to measure the difference between images based on high-level feature representations rather than pixel-level differences.

Reinforcement Learning

Perfect Information Game

Perfect Information Game is a type of strategic game where all players have full knowledge of all previous actions and the current state of the game at every decision point.

MLOps & Infrastructure

Performance Drift

Performance drift is the gradual decline or deviation in the effectiveness of a system, model, or process over time due to changing conditions or external factors.

Other

Performance Prediction

Performance prediction is the process of forecasting how a system, product, or campaign will perform under specific conditions using data analysis and modeling techniques.

AI Agents & Systems

Performative

Performative is an action or statement that enacts or produces a change simply by being expressed or performed.

AI Agents & Systems

Permisions

Permissions Short Definition: Permissions are settings that control access rights and actions users or systems can perform on resources.

Generative AI

Persona

Persona is a fictional character that represents a specific segment of a target audience based on real data and insights.

AI Agents & Systems

Personal Assistant

A Personal Assistant is a professional who supports individuals by managing their schedules, communications, and daily tasks to enhance productivity.

Other

Personality AI

Personality AI is artificial intelligence designed to simulate human-like personalities and behaviors in digital interactions.

Other

Personality Analytics

Personality Analytics is the process of using data and algorithms to assess and understand individual personality traits for improved decision-making.

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.