AI Terminology: A Plain-English Glossary

This AI glossary explains the terms you will meet most often when using and choosing AI tools, in plain English. Knowing them makes it easier to compare tools, follow product announcements, and understand why AI behaves the way it does.

Part of Beginner Guides. Last updated September 2026.

Core Concepts

Term Plain-English Meaning
Artificial intelligence (AI) Software that performs tasks needing human-like intelligence by learning from data
Machine learning How AI systems learn patterns from examples
Large language model (LLM) An AI trained on huge amounts of text to understand and generate language
Generative AI AI that creates new text, images, audio, video, or code
Model The trained AI system itself, such as a specific GPT, Claude, or Gemini version

Using AI

Term Plain-English Meaning
Prompt The instruction or question you give an AI
System prompt / custom instructions Standing instructions that shape every response
Token A small chunk of text; limits and prices are counted in tokens
Context window How much text the model can consider at once
Hallucination A confident answer that is false
Temperature A setting that makes output more predictable or more varied
Multimodal Able to work with more than text, such as images, audio, or video

Building With AI

Term Plain-English Meaning
AI agent AI that plans and carries out multi-step tasks using tools
RAG (retrieval-augmented generation) Giving the model relevant documents to answer from, reducing made-up answers
Fine-tuning Further training a model on specific examples
API A way for software to use an AI model programmatically
MCP (Model Context Protocol) An open standard for connecting AI assistants to tools and data sources
Embedding A numeric representation of meaning, used for search and matching

Frequently Asked Questions

What is a token in AI?

A small unit of text, often part of a word. Usage limits and API pricing are usually measured in tokens.

What does hallucination mean in AI?

When an AI produces information that sounds correct but is false or unsupported.

What is the difference between a prompt and a system prompt?

A prompt is your individual request; a system prompt or custom instructions set standing rules for every response.

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