[Karellen]

It's different in the same way that using an LLM instead of a traditional Markov chain is a different way of generating text. You're still predicting the next word at a time to hopefully end up with plausible sentences/paragraphs, but the difference is in how you model the training dataset, and how you use that model to make each next choice in your live application.