What is the role of tokenization in shaping model intelligence?

Tokenization defines the atomic units of language understanding and directly impacts model efficiency and generalization.

Tokenization determines vocabulary granularity. Poor tokenization leads to fragmentation of semantically related words, increasing sequence length and reducing efficiency. Subword methods like BPE balance vocabulary size and expressiveness.