How do large language models learn to write like humans?

Large language models learn to write like humans by practicing with lots of examples from books, websites, and other places where people write.

Imagine you're learning how to draw a cat by looking at many pictures of cats. At first, you might copy what you see, but as you practice more, you start to notice patterns, like how the ears are shaped or how the tail moves. Eventually, you can draw a cat on your own, even if it's not perfect.

Large language models work in a similar way. They look at millions of sentences written by people. Each sentence is like a drawing of a cat, it shows how words are used together to express ideas. The model tries to guess what comes next in the sentence, just like you might try to guess what color a cat's fur is before seeing the whole picture.

As they practice more and more, they get better at predicting what people will write next. Eventually, they can create new sentences that sound just like the ones humans write, even if they're not copying from any one source.