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nullsanityyesterday at 7:48 PM3 repliesview on HN

So, worse? Because we benchmark off token use when talking about token use, and everyone else understood that.


Replies

marcosdumayyesterday at 11:24 PM

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.

jascha_engyesterday at 9:43 PM

I mean it might lead to better performance on the model side. So the tokenizer is better but more expensive.

otikikyesterday at 7:53 PM

It’s better for them