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

Reinforcement Learning

Prioritized Sweeping

Prioritized Sweeping is a reinforcement learning technique that focuses updates on the most important or impactful states to accelerate learning efficiency.

AI Agents & Systems

Prisoner’s Dilemma

Prisoner's Dilemma is a fundamental concept in game theory illustrating how individuals might not cooperate even when it is in their best interest to do so.

AI Ethics

Privacy

Privacy is the right or condition of controlling access to personal information and maintaining confidentiality in digital and real-world environments.

Other

Privacy in AI

Privacy in AI is the practice of protecting personal and sensitive data when developing and using artificial intelligence systems.

AI Ethics

Privacy Violation

Privacy violation is the unauthorized access, use, or disclosure of personal information that breaches an individual's right to control their private data.

Other

Privacy-Preserving AI

Privacy-Preserving AI is artificial intelligence designed to protect user data confidentiality while enabling data analysis and model training.

AI Agents & Systems

Proactivity

Proactivity is the practice of anticipating and taking initiative to address future challenges or opportunities before they arise.

Other

Probabilistic Models

Probabilistic models are mathematical frameworks that use probability theory to represent and handle uncertainty in data and predictions.

AI Agents & Systems

Probabilistic Roadmaps

Probabilistic Roadmaps are a motion planning method that uses random sampling to create a network of possible paths for navigating complex spaces.

AI Fundamentals

Probability Theory

Probability Theory is a branch of mathematics that deals with the analysis of random phenomena and the likelihood of various outcomes.

Generative AI

Procedural Generation

Procedural generation is a method of creating data algorithmically rather than manually, often used to generate complex content like game worlds or textures automatically.

AI Agents & Systems

Process

Process is a series of structured actions or steps taken to achieve a specific goal or complete a task.

AI Fundamentals

Process Automation

Process Automation is the use of technology to execute recurring tasks or processes in a business where manual effort can be replaced.

Other

Process Mining

Process Mining is a technique that analyzes business processes based on event logs to discover, monitor, and improve workflows.

Other

Proctoring

Proctoring is the process of monitoring and supervising exams to ensure academic integrity and prevent cheating during assessments.

Other

Product Quantization

Product Quantization is a technique that compresses high-dimensional data by splitting it into smaller subspaces and quantizing each independently to enable efficient similarity search.

Other

Product Recommendation Engine

A product recommendation engine is software that analyzes user data to suggest relevant products tailored to individual preferences and behaviors.

Other

Product Review Analysis

Product Review Analysis is the process of evaluating customer feedback on products to extract insights that improve business decisions and customer experiences.

AI Agents & Systems

Production System

A production system is an organized environment where products or services are created, combining resources, processes, and technologies to meet customer demand.

Other

Programmatic Advertising

Programmatic advertising is the automated process of buying and selling digital ad space using software and algorithms.

Other

Programming assistant

A programming assistant is a software tool or system designed to help developers write, debug, and optimize code more efficiently.

Deep Learning & Neural Networks

Progressive GAN

Progressive GAN is a type of generative adversarial network designed to enhance the training of high-resolution images by gradually increasing the resolution of both the generator and discriminator.

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.