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.

117 terms

Other

Litigation Automation

Litigation Automation is the use of technology and software to streamline and manage legal processes involved in lawsuits and court cases.

Other

Live Agent Handoff

Live Agent Handoff is the process of transferring a customer interaction from an automated system, like a chatbot, to a human support agent for more personalized assistance.

Other

Live Captions

Live Captions are real-time text transcriptions of spoken words during audio or video content, enabling instant accessibility for viewers.

Other

Liveness Detection

Liveness detection is a security technology used to verify that a biometric sample, such as a fingerprint or face scan, comes from a live person rather than a fake or artificial source.

AI Tools & Platforms

LLaMA

LLaMA (Large Language Model Meta AI) is a family of open-weight large language models developed by Meta to generate, understand, and analyze human language.

Generative AI

LMS Sampler

LMS Sampler is a digital tool or module within a Learning Management System designed to provide users with a preview or sample of course content and features.

MLOps & Infrastructure

Load Balancing

Load balancing is the process of distributing network or application traffic evenly across multiple servers to ensure reliability and optimal performance.

MLOps & Infrastructure

Load Testing

Load testing is a type of performance testing that evaluates how a system behaves under expected user loads to ensure stability and responsiveness.

Other

Local AI

Local AI is artificial intelligence technology that runs directly on a user's device or local network without relying on cloud servers.

Other

Local AI Hosting

Local AI Hosting is the practice of running and managing artificial intelligence applications and models on on-premises servers or local devices instead of cloud-based platforms.

Other

Local AI Models

Local AI models are artificial intelligence systems that run directly on a user's device or local network without relying on cloud-based servers.

Other

Local Inference

Local inference is the process of drawing conclusions or making predictions based on data or evidence available within a specific, limited context or region.

Machine Learning

Local Minimum

A local minimum is a point in a mathematical function where the function value is lower than the values at surrounding points.

Other

Local Surrogate Models

Local surrogate models are interpretable, simplified models that approximate the behavior of complex machine learning models within a small, localized region of the input space.

Data & Analytics

Location Intelligence

Location Intelligence is the process of collecting, analyzing, and visualizing geographic data to inform business decisions and strategies.

Machine Learning

Log Loss

Log Loss is a performance metric used to evaluate the accuracy of a classification model by measuring the divergence between predicted probabilities and actual outcomes.

MLOps & Infrastructure

Logging

Logging is the systematic process of recording events, activities, or data generated by software, systems, or applications for monitoring and analysis.

Machine Learning

Logistic Regression

Logistic Regression is a statistical method used to model the probability of a binary outcome based on one or more predictor variables.

Other

Logo Embedding

Logo embedding is the process of integrating a brand's logo directly into digital content or media to enhance brand recognition and consistency.

Generative AI

Logo Generation

Logo generation is the process of creating a unique visual symbol or emblem that represents a brand or company.

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.