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.

306 terms

Other

Speech Analysis

Speech analysis is the process of examining spoken language to extract meaningful information such as emotions, intent, or linguistic features.

Other

Speech Analytics

Speech analytics is the process of analyzing recorded calls and spoken interactions to extract valuable insights for improving customer experience and business performance.

Other

Speech API

Speech API is a set of programming interfaces that enable applications to process, recognize, and generate human speech.

Other

Speech Emotion Recognition

Speech Emotion Recognition is the technology that identifies and interprets human emotions from spoken language using audio signal processing and machine learning.

Other

Speech Generator

A Speech Generator is a tool or software that produces spoken words from written text, enabling natural or synthetic voice output.

Other

Speech Parameters

Speech parameters are measurable features of spoken language, such as pitch, volume, and tempo, that define how speech sounds and conveys meaning.

Other

Speech Synthesis Markup Language

Speech Synthesis Markup Language (SSML) is a standardized XML-based language used to control the pronunciation, intonation, and other aspects of computer-generated speech.

Other

Speech Synthesis Markup Language (SSML)

Speech Synthesis Markup Language (SSML) is a standardized XML-based markup language designed to enhance and control the output of text-to-speech (TTS) systems.

Other

Speech-to-Intent

Speech-to-Intent is a technology that converts spoken language into actionable user intentions for digital systems.

Other

Speech-to-Text

Speech-to-Text is a technology that converts spoken language into written text automatically.

Deep Learning & Neural Networks

SphereNet

SphereNet is a neural network architecture designed to process spherical data, enhancing tasks such as 3D shape analysis and geospatial data interpretation.

Data & Analytics

Splunk

Splunk is a software platform that collects, analyzes, and visualizes machine-generated data to help organizations monitor and troubleshoot IT infrastructure and security.

Other

Sports Prediction

Sports prediction is the process of forecasting the outcome of sporting events using data analysis, statistics, and expert insights.

MLOps & Infrastructure

Spot Instances

Spot Instances are a type of cloud computing resource offered at discounted prices, allowing users to bid on unused capacity for temporary workloads.

Machine Learning

Spurious Correlation

Spurious correlation is a statistical relationship between two variables that appears to be causal but is actually due to coincidence or the presence of a third, unseen factor.

Data & Analytics

SQL

SQL is a standardized programming language designed for managing and manipulating relational databases.

Deep Learning & Neural Networks

SqueezeNet

SqueezeNet is a deep neural network architecture that is designed to achieve AlexNet-level accuracy on ImageNet with significantly fewer parameters.

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.