Text Preprocessing and Tokenization
Models don't see text — they see a sequence of integers, and every choice about how those integers are assigned decides what the model can and can never learn. A tokeniser that splits "unbelievable" into three pieces lets the model reuse what it learned about "un-" and "-able" elsewhere; a tokeniser that treats it as one opaque unit has no such option.