How does AI learn?

AI learns by trying things out and getting better at them, just like you learn to ride a bike or tie your shoes.

Imagine you have a friend who is really good at guessing games. Every time they guess wrong, they remember the clue and try again. That’s kind of how AI works, it keeps trying different answers and learns from its mistakes.

Think about learning to ride a bike. At first, you wobble and fall over, but each time you get back up, you remember what worked and what didn’t. Soon, you’re zipping around like a pro! AI is like that kid, it tries different things, and each time it gets something wrong, it learns from the mistake.

AI uses examples to learn. If you show it lots of pictures of cats and dogs, it starts to notice what makes them different, like their eyes or ears. Then, when it sees a new picture, it guesses if it’s a cat or a dog based on what it learned. The more examples it sees, the better it gets at guessing.

So AI is like your friend who keeps getting better at guessing games, or you learning to ride a bike, just by trying and learning from each try!