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

Other

Prediction Algorithms

Prediction algorithms are computational methods designed to analyze data and forecast future outcomes or trends based on historical patterns.

Other

Prediction Model

Prediction model is a mathematical or computational tool used to forecast future outcomes based on historical data and patterns.

Other

Prediction Models

Prediction models are analytical tools that use historical data and algorithms to forecast future outcomes or behaviors.

Data & Analytics

Predictive Analytics

Predictive analytics is the use of data, statistical techniques, and machine learning to forecast future outcomes based on historical patterns.

Other

Predictive Maintenance

Predictive Maintenance is a proactive approach that uses data analysis and monitoring to predict when equipment will require maintenance before failures occur.

AI Ethics

Predictive Parity

Predictive Parity is a fairness metric ensuring that a predictive model's positive predictions have equal accuracy across different demographic groups.

Other

Predictive performance score

Predictive performance score is a metric that evaluates how accurately a predictive model forecasts outcomes based on input data.

Other

Predictive Sending

Predictive Sending is an email marketing technique that uses data and algorithms to send messages at the optimal time for each recipient to increase engagement.

Data & Analytics

Prefect

Prefect is a modern workflow orchestration tool designed to automate, monitor, and manage data pipelines and complex processes efficiently.

AI Agents & Systems

Preference Elicitation

Preference elicitation is the process of gathering and understanding an individual’s or group’s choices and priorities to tailor decisions, recommendations, or systems accordingly.

Natural Language Processing (NLP)

Prefix Tuning

Prefix Tuning is a technique used in natural language processing to adapt pre-trained language models to specific tasks by prepending task-specific vectors to the input.

Data & Analytics

Prescriptive Analytics

Prescriptive Analytics is a data-driven approach that recommends specific actions to optimize outcomes based on predictive insights and business objectives.

Generative AI

Presentation Generation

Presentation Generation is the process of creating structured, visually engaging slides or materials to communicate information clearly and effectively.

Data & Analytics

Presto

Presto is an open-source distributed SQL query engine designed for fast analytic queries across large datasets.

Machine Learning

Pretrained Model

A pretrained model is a machine learning model that has already been trained on a large dataset and can be reused or fine-tuned for new tasks.

Computer Vision

Prewitt Operator

The Prewitt Operator is an edge detection technique used in image processing to highlight boundaries and transitions by calculating the gradient of image intensity.

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.