How do large language models actually generate text?

Large language models are like super-smart robots that know how to write stories, texts, and even poems, just by learning from lots of examples.

Imagine you're playing with letter blocks, and each block has a word or part of a sentence on it. A large language model is like someone who has played with these blocks for a really long time, so they know all the possible ways to put them together.

When a language model wants to generate text, it picks the next block that makes the most sense based on what came before. It’s like choosing the best word to continue a sentence, but instead of just one or two choices, it has thousands to pick from.

It doesn’t just guess randomly. The model looks at patterns in words and sentences, kind of like how you might know what your friend is going to say next when they start telling a story. It uses all the patterns it learned from reading millions of texts to decide which word or phrase should come next.

So, even though it doesn’t use magic, it can still write amazing stories and answers, just by knowing lots of words and how they fit together!