How are large language models like GPT-4 trained and deployed?

Big language models like GPT-4 are trained by learning from lots of stories and sentences, just like how you learn new words when you read books or talk with friends.

Imagine you're in a big library filled with millions of books. Every day, you read different kinds of stories, some about animals, some about space, and even some about math! Over time, you start to understand how sentences work and what words mean. That's kind of like how GPT-4 learns: it reads a lot of text from the internet and other sources to get really good at understanding and writing new sentences.

Once GPT-4 has learned a lot, it goes out into the world to talk with people, just like you might chat with your friends after school. When someone asks it a question or tells it a story, it uses what it has learned to come up with smart answers and even write new stories.

It's like having a super-smart friend who knows almost everything in that big library, and they're always ready to help you with homework or tell you an amazing tale.