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.

160 terms

Other

Text-to-Music Generation

Text-to-Music Generation is the process of creating musical compositions automatically from written text inputs using artificial intelligence.

Generative AI

Text-to-SQL

Text-to-SQL is a technology that converts natural language queries into structured SQL commands to interact with databases.

Generative AI

Text-to-Video

Text-to-Video is a technology that converts written text into dynamic video content by using AI and multimedia tools.

Other

Text-to-Video AI

Text-to-Video AI is artificial intelligence technology that converts written text into dynamic video content automatically.

Other

Text-to-Video Generation

Text-to-Video Generation is the process of automatically creating video content from written text using artificial intelligence and machine learning technologies.

Other

Text-to-Video Synthesis

Text-to-Video Synthesis is the process of generating video content automatically from textual descriptions using artificial intelligence.

Generative AI

Textual Inversion

Textual Inversion is a machine learning technique that creates a concise embedding to capture the unique meaning of a concept from a few example images or texts.

Generative AI

Texture Generation

Texture Generation is the process of creating visual surface patterns or images algorithmically to simulate the appearance of real-world materials or abstract designs.

Computer Vision

Texture Mapping

Texture mapping is a technique used in computer graphics to wrap a 2D image, or texture, onto a 3D surface.

Natural Language Processing (NLP)

TF-IDF

TF-IDF is an acronym for Term Frequency-Inverse Document Frequency, a numerical statistic that reflects the importance of a word within a document relative to a collection of documents.

Deep Learning & Neural Networks

TFX

TFX is a comprehensive platform developed by TensorFlow for deploying and managing machine learning models in production environments.

Other

Thematic Search

Thematic search is a search technique that focuses on finding information based on overarching themes or topics rather than exact keywords.

Other

Therapy Chatbot

A therapy chatbot is an AI-powered digital tool designed to provide mental health support and guidance through conversational interactions.

Computer Vision

Thermal Imaging

Thermal imaging is a technology that captures images based on the heat emitted by objects, allowing visualization of temperature differences.

Computer Vision

Thinning

Thinning is the agricultural or horticultural practice of selectively removing plants or branches to improve growth, health, and yield.

Machine Learning

Thompson Sampling

Thompson Sampling is a probabilistic algorithm used for decision-making under uncertainty, often applied in multi-armed bandit problems.

Other

Tidy Data

Tidy data is a standardized way of organizing data where each variable forms a column, each observation forms a row, and each type of observational unit forms a table.

Other

Tidyverse

Tidyverse is a collection of R packages designed for data science that share an underlying design philosophy and consistent data structures.

Other

TikTok Algorithm

TikTok Algorithm is the set of data-driven rules and processes that determine which videos appear on a user's feed to maximize engagement and relevance.

Machine Learning

Time Series Analysis

Time Series Analysis is a statistical technique used to analyze time-ordered data points to understand underlying patterns and predict future trends.

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.