How to Train a LLM model

A program takes real text passages to improve its rules. It grabs text from sources like Hamlet and analyzes it. By comparing its output to the correct answer, it adjusts its rules to generate slightly better results. This process is repeated with passages from various sources like Shakespeare works, Wikipedia, and the web. It requires significant computational power and time to train the program on massive amounts of data. However, through this training, the program's rules become highly comprehensive and nuanced, surpassing what any human team can achieve. It can recognize different types of texts and their characteristics, such as jokes in Seinfeld scripts, and apply appropriate rules accordingly.

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