Glossary
What Is Generative AI? Definition and Example
Generative AI is a type of artificial intelligence that creates new content, such as text, images, audio, video or code, from a prompt you give it.
What it means
Instead of only sorting or predicting, generative AI produces something new based on patterns it learned from large amounts of data. Chat assistants, image generators and voice tools are all generative AI. Quality depends heavily on how clearly you describe what you want.
Example
You ask an assistant to turn meeting notes into a short summary and three action items, and it writes them for you.
Why it matters
Generative AI is what has made AI useful to non-technical people. It saves time on first drafts, but the output always needs review for accuracy and tone.
Related terms
- Prompt: A prompt is the instruction or question you give an AI tool. A clear prompt states the role, the context, the.
- Large Language Model (LLM): A large language model, or LLM, is an AI system trained on huge amounts of text to understand and generate.
- AI Hallucination: An AI hallucination is a confident answer from an AI that is not true, such as a made-up fact, number, quote.
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Frequently asked questions
What is the difference between AI and generative AI?
AI is the broad field. Generative AI is the part that creates new content.
Is generative AI free to use?
Many tools have free plans with limits. Check each tool's own page for current plans.
Can generative AI replace a writer or designer?
It can speed up drafts, but quality, accuracy and taste still depend on a person reviewing the work.