What Is Generative AI? A Plain-Language Introduction
A grounded explanation of what generative AI is, where it came from, and what it can and cannot do for everyday work.
Topic guide
Artificial intelligence fundamentals
A clear foundation in what generative AI is, how assistants produce answers, and the vocabulary that keeps workplace conversations precise.
Generative AI is easiest to use well when you understand a little about how it works. These pages explain the core ideas in plain language: what a model is, how a prompt shapes a response, why outputs vary between runs, and how the tools you use in an app relate to the underlying engine.
The goal is not to make you an engineer. It is to give you an accurate mental model so you can judge claims, ask better questions, and recognize the situations where an AI answer is a helpful draft rather than a reliable fact.
What you will learn
- What "generative" means and how it differs from older AI
- How training and next-word prediction produce fluent text
- Why the same prompt can give different answers
- How to tell models apart from the applications built on them
- The terminology you will hear in meetings and product pages
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