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.

119 terms

Computer Vision

Blocking Artifact

Blocking artifact is a visual distortion in digital images or videos caused by compression techniques that divide content into blocks, leading to noticeable blocky patterns.

Generative AI

Blog Post Generation

Blog post generation is the process of creating written content for blogs using various tools, techniques, or manual writing to engage readers and improve online presence.

Deep Learning & Neural Networks

Bloom

Bloom is a term used to describe the process of developing or flourishing, often used in contexts like marketing strategies, business growth, and content reach.

Generative AI

Blue Teaming

Blue Teaming is the practice of defending computer systems and networks against cyber attacks by identifying, monitoring, and responding to threats.

Other

Body Measurement Extraction

Body Measurement Extraction is the process of digitally capturing and analyzing human body dimensions using technology for accurate sizing and fitting purposes.

Other

Body Measurement Prediction

Body Measurement Prediction is the process of estimating key body dimensions using digital tools and algorithms to enhance fit accuracy in fashion and health applications.

AI Agents & Systems

Boids

Boids is a computer simulation model that mimics the collective movement behavior of bird flocks, fish schools, or similar groups through simple, rule-based agents.

Data & Analytics

Bokeh

Bokeh is the aesthetic quality of the blur produced in the out-of-focus parts of an image, often used to emphasize the subject and enhance visual appeal.

Other

Book Recommendation Engine

A Book Recommendation Engine is a software system that suggests books to users based on their preferences, behavior, and reading history.

Machine Learning

Boosting

Boosting is a machine learning ensemble technique that combines multiple weak learners to create a strong predictive model.

Machine Learning

Bootstrapping

Bootstrapping is a self-starting process where an entrepreneur funds their business using personal finances or operating revenues rather than external investors.

AI Agents & Systems

Bot

A bot is an automated software program designed to perform repetitive tasks online without human intervention.

Other

Bot Creator

Bot Creator is a person or tool responsible for designing and developing software bots that automate tasks or simulate interactions.

Computer Vision

Bottleneck Block

Bottleneck Block is a specialized neural network architecture component designed to reduce computational load while maintaining performance by compressing and then expanding feature channels.

AI Agents & Systems

Bounded Rationality

Bounded rationality is the concept that decision-making is limited by cognitive constraints, available information, and time, leading individuals to make satisficing rather than optimal choices.

Other

Bounding Box

Bounding Box is a rectangular outline used in digital imaging and computer vision to define the position and size of an object within an image.

Data & Analytics

Box Plot

A box plot is a graphical representation that summarizes data distribution through its quartiles, highlighting the median, spread, and potential outliers.

AI Agents & Systems

Boxed AI

Boxed AI is a pre-packaged artificial intelligence solution designed for easy deployment and integration within business systems.

AI Agents & Systems

BPEL

BPEL is a standardized XML-based language used to define and execute business process workflows across multiple web services.

AI Agents & Systems

BPMN

BPMN is a standardized graphical notation for modeling business processes to improve clarity and communication.

Other

Brain Training

Brain training is a set of activities designed to improve cognitive functions such as memory, attention, and problem-solving skills through regular mental exercises.

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.