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ConceptsBeginner2014

Generative AI

Generative Artificial Intelligence

Generative AI creates new content such as text, images, audio, video or code.

Explained simply

Generative AI creates new content such as text, images, audio, video or code.

1Prompt
→
2Generative model
→
3Create new content
→
4Text / image / audio

At a glance

Category
Concepts
Difficulty
Beginner
Introduced
2014

Real example

You describe a product idea and the AI creates a draft description, image and advertisement.

Why it matters

It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.

Timeline

Origins

The ideas behind Generative AI begin developing.

2014

Generative AI becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Generative AI becomes connected to newer AI systems and products.

Today

Generative AI remains relevant in the concepts area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Continue with these connected terms:

LLMA large language model is an AI trained on huge amounts of text so it can understand and generate language.→Diffusion ModelA diffusion model creates content—often images—by starting with noise and gradually turning it into a clear result.→PromptA prompt is the question, instruction or information you give an AI.→

Simple infographic

A quick visual way to understand Generative AI.

1Prompt
→
2Generative model
→
3Create new content
→
4Text / image / audio
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