How do large language models like ChatGPT generate responses?

Large language models like ChatGPT are like super-smart helpers who know how to write sentences.

Imagine you have a big box full of word cards, every card has a single word on it. When someone asks a question, the model looks through this box and picks out words that fit best with what’s been said so far. It's like playing a game where each new word helps you get closer to the answer.

The helper (the model) has learned from reading millions of sentences before. It knows which words usually go together, just like how you know "apple" and "tree" often appear together. So when it’s time to respond, it tries different combinations of words, like trying on shoes until it finds the best pair that fits.

Once a few words are picked, the helper uses them to guess what comes next, just like how you might finish someone else's sentence if you know them well. It keeps doing this step by step, one word at a time, until it has a full response ready for you!