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Optimize LLM token usage for diverse languages

User notes that Mandarin offers high token efficiency and uses it as a workaround by translating content. This implies a need for LLMs to optimize tokenization and reduce costs for other languages.

Original Source

@@MrPibbZero | 9 pts

I learnt that Chinese is the Perfect Language. One Hanzi equals one Token, truly a Miracle for the only successful Logographic Language. It's because of this Perfect Token Efficiency, I have my GPT Assistant record everything in Mandarin, so when I need to refer to it later, I can just translate it off site to preserve Tokens.

Discussion

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