How do different tokenization strategies impact perplexity measurements?
Hey, have you ever wondered how different ways of breaking down tokens can affect perplexity measurements? It’s kind of like how the way we slice a pizza can change our experience of it. I’m curious about how these strategies play into understanding language models better! What do you think?
Bitcoin
Ethereum
龙虾
Solana
TRON
Filecoin
OFFICIAL TRUMP
River
Dogecoin
XRP
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