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LLMs are trained as a result of “up coming token prediction”: They can be specified a big corpus of textual content gathered from diverse sources, including Wikipedia, information websites, and GitHub. The text is then damaged down into “tokens,” which might be generally aspects of phrases (“terms” is a person token, “fundamentally”