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.

208 terms

AI Agents & Systems

Prohibitions

Prohibitions are explicit rules or laws that forbid certain actions or behaviors within a specific context.

Data & Analytics

Prometheus

Prometheus is an open-source systems monitoring and alerting toolkit designed for collecting and querying time-series data.

Other

Prompt Blending

Prompt blending is the technique of combining multiple input prompts to guide an AI model toward producing more nuanced and targeted responses.

Generative AI

Prompt Injection

Prompt Injection is a technique where malicious or unintended input is embedded into a prompt to manipulate the output of AI language models.

Other

Prompt Library

A Prompt Library is a curated collection of pre-written prompts designed to guide AI models or users in generating content, responses, or creative ideas efficiently.

Other

Prompt Marketplace

Prompt Marketplace is an online platform where users can buy, sell, or share AI-generated prompts designed to optimize content creation and automation workflows.

Other

Prompt Template

A prompt template is a structured framework used to design effective input queries for AI language models to generate desired outputs.

Other

Prompt Versioning

Prompt Versioning is the practice of systematically managing and updating iterations of prompts to improve AI responses and maintain consistency.

Other

Prompt-Based Content Generation

Prompt-based content generation is the process of creating text or media by using specific input prompts to guide AI or automated tools in producing relevant and targeted content.

Other

Prompt-Based Design

Prompt-Based Design is a creative approach that uses specific prompts or cues to inspire and guide the development of products, content, or user experiences.

Other

Prompt-Based Generation

Prompt-based generation is a method where AI models create content or responses based on specific input prompts provided by users.

Natural Language Processing (NLP)

Prompt-based NLP

Prompt-based NLP is an approach to natural language processing where models generate outputs based on carefully designed prompts that guide the model’s understanding, reasoning, or task execution.

Other

Promptable AI

Promptable AI is an artificial intelligence system designed to respond effectively to user prompts, enabling flexible and dynamic interactions.

Other

Pronunciation Assessment

Pronunciation assessment is the process of evaluating how accurately and clearly a person articulates words in a given language.

Other

Pronunciation Feedback

Pronunciation feedback is information provided to help individuals improve the clarity and accuracy of their spoken language.

Machine Learning

Prophet

Prophet is an open-source forecasting tool developed by Facebook to predict time series data trends and patterns.

AI Fundamentals

Propositional Logic

Propositional Logic is a branch of logic that deals with propositions and their connections through logical operators.

Generative AI

Protein Folding

Protein folding is the biological process by which a protein chain acquires its functional three-dimensional structure.

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.