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.

122 terms

Computer Vision

Field of View

Field of View is the extent of the observable area visible through a device or by the human eye at a given moment.

Other

Figma Integration

Figma Integration is the process of connecting Figma, a collaborative design tool, with other software platforms to streamline workflows and enhance productivity.

Other

Film Analytics

Film Analytics is the process of collecting and analyzing data related to movies to understand audience behavior, improve marketing strategies, and optimize film production decisions.

Other

Financial Data Extraction

Financial Data Extraction is the automated process of retrieving relevant financial information from documents and data sources for analysis and decision-making.

Other

Financial Document Processing

Financial Document Processing is the automated handling and analysis of financial paperwork to streamline data extraction and improve accuracy.

Machine Learning

Fine-Tuning

Fine-tuning is the process of adapting a pre-trained AI model by training it further on specific data so it performs better on a targeted task or domain.

AI Agents & Systems

Finite State Machine

A Finite State Machine is a computational model used to represent and control execution flow through a limited number of defined states based on inputs.

MLOps & Infrastructure

FinOps

FinOps is a collaborative financial and operational practice that helps organizations optimize cloud spending and improve cost efficiency.

AI Agents & Systems

FIPA

FIPA is the Foundation for Intelligent Physical Agents, an organization that creates standards for agent-based systems and multi-agent interoperability.

AI Agents & Systems

FIPA-ACL

FIPA-ACL is a standardized Agent Communication Language defined by the Foundation for Intelligent Physical Agents (FIPA) to enable structured and meaningful messaging between software agents.

AI Fundamentals

First-Order Logic

First-Order Logic is a formal system used in mathematics, philosophy, linguistics, and computer science to express statements with quantifiers and predicates.

Generative AI

Flashcard Generation

Flashcard generation is the process of creating digital or physical cards designed to help users learn and memorize information efficiently.

MLOps & Infrastructure

Flask

Flask is a lightweight and flexible Python web framework used for building web applications and APIs.

Deep Learning & Neural Networks

Flax

Flax is a versatile plant known for its fiber and seed, commonly used in textile production and as a source of flaxseed oil.

Other

Flight Price Prediction

Flight Price Prediction is the process of using data analysis and algorithms to estimate future airfare costs for specific routes and dates.

Other

Flirting AI

Flirting AI is an artificial intelligence system designed to engage users in playful, romantic, or flirtatious conversations using natural language processing and emotional cues.

AI Agents & Systems

Flocking

Flocking is a natural collective behavior where individuals move together in coordinated groups, often seen in birds, fish, and other animals.

Other

Floor Plan Integration

Floor Plan Integration is the process of incorporating detailed architectural layouts into digital platforms to enhance visualization, navigation, and operational efficiency.

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.

Read more Read less

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.