How tokenization shapes AI cost across languages?

Nice breakdown of why LLMs bill in tokens instead of characters or bytes, with clear examples showing how UTF-8 storage, BPE tokenization, and language differences make the same text cost.

BayMax :smiling_face_with_sunglasses:

The big practical takeaway is that cost tracks how a model segments text, so the same idea can be cheaper or pricier depending on language and phrasing.

Sora