Learning from examples
AI learns a bit like you do. It looks at many examples. Then it can spot new ones.
📌 Key points
- 🐱 You learned what a cat is by seeing lots of cats.
- 📸 AI learns by looking at lots of examples too.
- 🏷️ People tell AI what each example is: "This is a cat."
- 🔎 AI finds what is the same: ears, whiskers, tail.
- 🆕 Then it can spot a cat it has never seen.
- ⚠️ If AI only sees cats, it cannot spot dogs.
📖 Key words
- Example
- One thing that shows what something is like.
- Label
- A name that says what something is.
- Learn
- To get better at something.
- Spot
- To find or notice something.
✏️ Worked example
AI has seen only cat pictures. Now it sees a dog. What happens?
- AI learned from cat pictures only.
- It never saw a dog with the label "dog".
- So it does not know what a dog is.
- It may get it wrong. 🐶
- To learn dogs, it needs dog examples too.
Try this at home: sort your toys into groups. You are finding what is the same, like AI!
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