this post was submitted on 26 Aug 2024
22 points (100.0% liked)
TechTakes
1489 readers
59 users here now
Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
This is not debate club. Unless it’s amusing debate.
For actually-good tech, you want our NotAwfulTech community
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
If you change the tokenizer you have to retrain from scratch, but you can do so with the old, unpolluted data.
It's genius if you think about it,* you can waste energy and tell your investors it's a new better model, while staying upstream from the river you pollute.
* at least for consultants, compute providers and other middle men.
I remember one time in a research project I switched out the tokeniser to see what impact it might have on my output. Spent about a day re-running and the difference was minimal. I imagine it's wholly the same thing.
*Disclaimer: I don't actually imagine it is wholly the same thing.
there's a research result that the precise tokeniser makes bugger all difference, it's almost entirely the data you put in
because LLMs are lossy compression for text
latent space go brrrr