How do LLMs handle multilingual tokenization challenges?

They use shared subword vocabularies that balance efficiency across languages.

Multilingual tokenization uses techniques like SentencePiece to create shared subword vocabularies. Challenges include script diversity, token fragmentation, and imbalance in language representation. Poor tokenization leads to degraded performance in low-resource languages.