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

Machine Learning

Polynomial Regression

Polynomial Regression is a type of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.

Other

Poplar SDK

Poplar SDK is a software development kit designed to facilitate building and deploying applications using Poplar, a graph-based machine learning framework.

Other

Portrait Animation

Portrait animation is the digital creation or enhancement of lifelike movements and expressions in a static portrait image, bringing it to life through motion.

Other

Portrait Generation

Portrait generation is the process of creating digital images of human faces using artificial intelligence or computer graphics techniques.

Computer Vision

Pose Estimation

Pose Estimation is the process of determining the position and orientation of a person or object in an image or video.

Other

Post-Editing

Post-Editing is the process of reviewing and improving machine-translated text to ensure accuracy, clarity, and quality suitable for human readers.

MLOps & Infrastructure

Post-Mortem

Post-Mortem is a structured review conducted after a project or event to analyze outcomes, identify successes, and learn from mistakes.

Generative AI

Posterior Collapse

Posterior collapse is a phenomenon in variational autoencoders where the learned latent variables fail to capture meaningful information, causing the model's posterior distribution to collapse to the prior.

AI Agents & Systems

Potential Fields

Potential fields are mathematical constructs used to represent forces or influences in a space, often utilized in robotics and pathfinding to guide movement and decision-making.

Data & Analytics

Power BI

Power BI is a Microsoft business analytics tool that enables users to visualize data and share insights across organizations.

Other

PowerPoint Integration

PowerPoint Integration is the process of connecting Microsoft PowerPoint with other software or platforms to enhance presentations, automate workflows, or share content seamlessly.

Other

Practice Question Generation

Practice Question Generation is the process of creating targeted questions to reinforce learning and assess understanding in educational or training contexts.

Other

Pre-trained Model

A pre-trained model is a machine learning model that has been previously trained on a large dataset and can be fine-tuned or used directly for related tasks.

Other

Pre-trained Models

Pre-trained models are machine learning models that have been previously trained on large datasets to perform specific tasks, allowing quicker adaptation to related problems.

Machine Learning

Precision

Precision is the degree to which repeated measurements or calculations yield the same or similar results.

Machine Learning

Precision-Recall Curve

A Precision-Recall Curve is a graphical representation that shows the trade-off between precision and recall for different threshold settings of a classification model.

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.