306 terms

AI Agents & Systems

Social Choice Theory

Social Choice Theory is the study of collective decision-making processes where individual preferences are aggregated to reach a group consensus.

Other

Social Fashion AI

Social Fashion AI is an artificial intelligence technology that analyzes social media trends and user preferences to predict and influence fashion styles and consumer behavior.

Other

Social Impact AI

Social Impact AI is artificial intelligence designed to address and improve social challenges by promoting positive outcomes for communities and society at large.

Other

Social Media Integration

Social Media Integration is the process of combining social media platforms with websites or applications to enhance user engagement and share content seamlessly.

Generative AI

Social Media Post Generation

Social media post generation is the process of creating engaging and relevant content tailored for sharing across various social media platforms.

AI Agents & Systems

Social Robot

Social Robot is a type of robot designed to interact and communicate with humans in a social or empathetic manner.

Other

Social Robotics

Social robotics is the field of designing and developing robots that can interact and communicate with humans in a socially meaningful way.

AI Ethics

Society-in-the-loop

Society-in-the-loop is a framework that integrates societal values and ethical considerations directly into the design and governance of AI systems.

AI Agents & Systems

Soft Robotics

Soft robotics is a branch of robotics focused on creating flexible, adaptable machines made from soft and compliant materials that mimic natural organisms.

Reinforcement Learning

Softmax Exploration

Softmax Exploration is a strategy in reinforcement learning that selects actions probabilistically based on their estimated values, promoting a balance between exploration and exploitation.

AI Fundamentals

Software 2.0

Software 2.0 is a term used to describe the development of software using machine learning models instead of traditional programming.

AI Agents & Systems

Software Agent

Software Agent is a computer program designed to autonomously perform tasks or simulate human actions based on predefined rules or learning algorithms.

Data & Analytics

Solr

Solr is an open-source search platform built on Apache Lucene that enables powerful full-text search, indexing, and real-time data retrieval.

Computer Vision

Sonar

Sonar is a technology that uses sound waves to detect, locate, and identify objects underwater.

Other

Song Generation

Song Generation is the process of creating music and lyrics using artificial intelligence or algorithmic methods.

Other

Songwriting AI

Songwriting AI is artificial intelligence technology designed to assist or automate the creation of lyrics, melodies, and musical compositions.

Deep Learning & Neural Networks

Sonnet

A sonnet is a 14-line poem with a specific rhyme scheme and meter, traditionally exploring themes of love, nature, or philosophy.

Generative AI

Sound Effect Generation

Sound effect generation is the process of creating or synthesizing audio elements that enhance or simulate real-world sounds for various media applications.

Other

Sound Event Detection

Sound Event Detection is the process of identifying and locating specific sounds or acoustic events within an audio recording.

Other

Sound Synthesis

Sound synthesis is the process of creating and manipulating audio signals to generate new sounds using electronic or digital methods.

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.