Large language models (LLMs) are trained on vast amounts of text data to learn the general rules and dependencies within a language. This training involves exposing the models to extensive text corpora, enabling them to understand grammar, semantics, and conceptual relationships. The training data, often in the billions of pages, allows LLMs to capture intricate patterns in language and generate coherent and contextually relevant responses.