How do large language models predict human-like text?

Large language models are like super-smart text detectives who guess what comes next.

Imagine you're reading a story and you want to know what happens next. You look at the words already there, think about what usually happens in stories, and then make a good guess. That’s what large language models do, they read some words, figure out patterns, and then guess what comes next.

These models learn by reading lots and lots of text, like books, websites, messages, and more. The more text they read, the better they get at spotting common patterns in how people write and speak. It’s like practicing spelling every day until you can write without thinking.

Once they're trained, they look at what's already been written and use their learned patterns to predict what might come next. If they're really good, it looks like a real person is writing, that’s why the text feels human-like!

So, just like you guess what happens in your favorite story, these models guess what comes next in the text they read, and they do it really well!