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nullsanity
19 days ago
So, worse? Because we benchmark off token use when talking about token use, and everyone else understood that.
3 comments
marcosdumay
19 days ago
The most important feature of a tokenizer is dividing the inputs into independent values that the neural network can work with. It's not the size.
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jascha_eng
19 days ago
I mean it might lead to better performance on the model side. So the tokenizer is better but more expensive.
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otikik
19 days ago
It’s better for them
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