AI vs ML vs Deep Learning vs GenAI
You will hear four names again and again: AI, machine learning, deep learning and generative AI. Many people mix them up. In this lesson you will see how they fit together, like circles inside circles.
New words
- Machine learning (ML)
- AI that learns patterns from examples instead of following rules written by a person.
- Deep learning (DL)
- Machine learning that uses neural networks with many layers.
- Neural network
- A computer program made of many small connected parts, loosely inspired by the brain.
- Generative AI (GenAI)
- Deep learning that creates new text, images, music or code.
- Rule-based system
- A program that follows hand-written rules and learns nothing from data.
- Data
- Examples a computer can learn from, such as photos, emails or numbers.
What you will learn
- Why the names are so confusing
- The four circles
- Try it: explore the circles and sort the examples
- AI without learning: the rule-based chess program
- Why deep learning took off
- Where you see each circle every day
- Explain it to a friend
- Key takeaways
10 quiz questions at the end.
The full lesson, with interactive demos and the quiz, opens after you sign in with Google. It is free.