How do large language models like GPT-4 generate human-like text?

Large language models like GPT-4 are like super-smart text helpers who can write stories, answer questions, and even chat with you, all by learning from a huge number of sentences.

Imagine you're writing a story, and you want to know what happens next. You might think about the words you've already used, the characters in your story, and maybe even how they usually act. That’s kind of like how GPT-4 works, it looks at all the words before and decides which word comes next.

GPT-4 learned from millions of sentences, just like you learn new words by reading books or talking with friends. Every time it saw a sentence, it got better at guessing what should come next. Over time, it became really good at predicting the right word, almost like it knows how stories are usually told.

When GPT-4 is writing something new, it starts with the first few words and keeps choosing the best possible next word, one by one. It’s like playing a game where you try to guess what comes next in a sentence, except GPT-4 plays this game super fast and can do it for hundreds of sentences at once!

That's how it writes stories, answers questions, and even helps you with your homework, all from learning what words usually go together.