LLMs are trained via “following token prediction”: These are given a sizable corpus of textual content collected from distinct sources, for example Wikipedia, news Internet sites, and GitHub. The text is then damaged down into “tokens,” that happen to be basically aspects of phrases (“words” is just one token, “generally” is 2 token