Tokenization is a crucial process in understanding language models, breaking down text into manageable parts called tokens. These tokens can represent words, phrases, or even components like prefixes and suffixes. The relationship between tokens and their identifiers is essential for processing language effectively, with a general rule of generating four tokens for every three words in a prompt. This nuanced approach allows for a deeper understanding of text and its components.
