AI vs Machine Learning vs Generative AI
AI is the broad field of building systems that perform tasks normally requiring human intelligence. Machine learning is one major approach within AI, where systems learn patterns from data instead of following fixed rules. Generative AI is a further subset of machine learning, focused specifically on creating new content such as text or images.
AI
AI (artificial intelligence) is software that does tasks that used to need a person, such as writing, sorting or predicting, by learning patterns from data.
Machine Learning
Machine learning is the part of AI where software learns rules from examples instead of being told them, then uses those rules to predict or sort new cases.
Generative AI
Generative AI is AI that creates new text, images, audio or code from a request. What it writes is a likely draft built from patterns, not a checked fact.
The broadest umbrella term
A specific approach within AI
A specific type of machine learning
Any task simulating human intelligence
Learns patterns from data to make predictions
Creates new content from combinations of learned patterns
A chess-playing program
A model predicting customer churn
A tool writing marketing copy from a prompt
| Scope | The broadest umbrella term | A specific approach within AI | A specific type of machine learning |
|---|---|---|---|
| What it does | Any task simulating human intelligence | Learns patterns from data to make predictions | Creates new content from combinations of learned patterns |
| Example | A chess-playing program | A model predicting customer churn | A tool writing marketing copy from a prompt |