7 ms·

Basically the latter

• weinzierl 3y ago
  The tokenization algorithms I encountered all had around 50000 tokens, which fits nicely into (and makes good use of) a 16-bit number. Is this just a coincidence or does it have advantages for the token to be a 16-bit representable number?
  • danuker 3y ago
    I suspect it being 16 bit instead of 32 bit means more of them can get packed more tightly. Some instructions can operate on them in parallel. But I personally think it's a coincidence, and it just so happens that 50k tokens are enough for the level of complexity the models have right now.
  • sebzim4500 3y ago
    Probably a coincidence. The GPT-4 and GPT-3.5 tokenizer has 100k tokens.