Nice work!
> If it can do this in 13kb, it makes me wonder what it could do with more bytes.
Maybe I misunderstand, but is this not just the first baby steps of an LLM written in JS? "what it could do with more bytes" is surely "GPT2 in javascript"?
> If it can do this in 13kb, it makes me wonder what it could do with more bytes.
Maybe I misunderstand, but is this not just the first baby steps of an LLM written in JS? "what it could do with more bytes" is surely "GPT2 in javascript"?
There's a lot of abstractions one can have for this stuff, I think you're looking at that "text predictor" is one of them?
If you roll with that, then you're in a position where you're saying GPT-2 class LLMs were very close in 1960, because at the end of the day, it's just a dictionary lookup with a string key and a value of list<string> completions. That confuses instead of illuminates.