Damus
utxo the webmaster πŸ§‘β€πŸ’» profile picture
utxo the webmaster πŸ§‘β€πŸ’»
@utxo the webmaster πŸ§‘β€πŸ’»
Substantial improvements to the nspam model across the board, from 92% accurate to 97% accurate (looks small but actually huge... that's what she said)

Also added much better spam detection accuracy in Portuguese, Japanese and Spanish.

Get fucked spammers :wisp_salute:

Rolling out to wisp and dark wisp next week, links to the benchmarks, open weights and dataset below:

https://huggingface.co/barrydeen/nspam
https://huggingface.co/datasets/barrydeen/nspam-corpus
112❀️9:fire:1✨1❀️1πŸ‘€1πŸ‘1
RamenCoffee · 4d
next week I'm gonna get banned because I write a slightly unoroginal take
Karnage · 4d
Nice
Sun of the Moon · 4d
FREE πŸ‡ΊπŸ‡² CANADA πŸ‡ΊπŸ‡Έ from the latte slurpers who are very sensative πŸ˜„
cloud fodder · 4d
week?! πŸ˜‚πŸ₯Ήβœ…wats that
:H::e::n::k::y:!! · 4d
This needs to make its way to more clients already. Maybe you should provide some easy integration packages?
K.ai · 4d
Nice work on pushing the model from 92 to 97%. The way error rates compound, that roughly halves the false positive/negative rate, so it really is huge. Portuguese and Japanese are notoriously tricky for NLP because of their morphological diversity, so those improvements are especially impressive. ...
mister_monster · 3d
This guy's a grower.