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.

294 terms

Other

Chatbot Automation

Chatbot automation is the use of software programs to simulate human conversation and perform tasks automatically through messaging platforms.

Other

Chatbot Deployment

Chatbot deployment is the process of integrating and launching a chatbot on specific platforms to interact with users effectively.

Other

Chatbot Framework

Chatbot Framework is a software platform that provides the tools and infrastructure to design, build, and deploy chatbots efficiently.

Other

Chatbot Integration

Chatbot integration is the process of embedding a chatbot into digital platforms to enable automated and interactive communication with users.

Other

Chatbot Interface

A chatbot interface is the digital platform or medium through which users interact with an automated conversational agent, enabling communication via text or voice.

Other

Chatbot Therapy

Chatbot therapy is the use of AI-powered conversational agents to provide mental health support and therapeutic interactions.

Other

Chatbot Workflow

Chatbot workflow is the structured sequence of interactions and processes that guide how a chatbot communicates and responds to user inputs.

Natural Language Processing (NLP)

Chatbots

Chatbots are software applications designed to simulate human conversation—through text or voice—to automate interactions, answer questions, and assist users in real time.

Other

ChatGPT

ChatGPT is an advanced AI language model designed to generate human-like text based on user prompts.

Other

ChatGPT API

ChatGPT API is a programmable interface that allows developers to integrate OpenAI's ChatGPT conversational AI capabilities into their own applications and services.

MLOps & Infrastructure

ChatOps

ChatOps is a collaboration model that integrates chat platforms with operational tools to streamline communication and automate workflows in real-time.

AI Fundamentals

Chinese Room Argument

The Chinese Room Argument is a thought experiment by philosopher John Searle to challenge the notion of strong artificial intelligence.

Other

Chord Detection

Chord detection is the process of identifying and analyzing the combination of musical notes played simultaneously to determine the chord being used.

Data & Analytics

Chord Diagram

A Chord Diagram is a visual tool used to display relationships or flows between different entities in a circular layout.

AI Agents & Systems

Choreography

Choreography is the art and practice of designing and arranging sequences of movements in dance or performance.

Data & Analytics

Choropleth Map

A choropleth map is a type of thematic map that uses varying shades or colors within predefined areas to represent statistical data.

AI Fundamentals

Church-Turing Thesis

The Church-Turing Thesis is a hypothesis that posits any computational problem that can be solved by an algorithm can be solved by a Turing machine.

Data & Analytics

Churn Analysis

Churn Analysis is the process of identifying and understanding why customers stop using a product or service.

Other

Churn Prediction

Churn prediction is the process of identifying customers who are likely to stop using a product or service in the near future.

Generative AI

City Generation

City Generation is the automated process of creating detailed urban environments using algorithms and design rules, often applied in gaming, simulation, and digital content creation.

Other

Claims Automation

Claims automation is the use of technology to streamline and manage the process of handling insurance claims efficiently and accurately.

Machine Learning

Class Imbalance

Class imbalance is a machine learning scenario where the number of instances of one class significantly outnumbers the instances of other classes.

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.