Raccoonn to Memes@lemmy.ml • 25 days agoAI will never be able to write like me.lemmy.mlimagemessage-square117fedilinkarrow-up11arrow-down10
arrow-up11arrow-down1imageAI will never be able to write like me.lemmy.mlRaccoonn to Memes@lemmy.ml • 25 days agomessage-square117fedilink
minus-square@ByteJunk@lemmy.worldlinkfedilink0•25 days agoThank you for testing that out. My experience with AI is that it’s at a point where it can comprehend something like this very easily, and won’t be tricked. I suspect that this can, however, pollute a model if it’s included as training data, especially if done regularly, as OP is suggesting.
minus-square@saigot@lemmy.calinkfedilink0•25 days agoIf it was done with enough regularity to eb a problem, one could just put an LLM model like this in-between to preprocess the data.
minus-square@Azzu@lemm.eelinkfedilink0•25 days agoThat doesn’t work, you can’t train models on another model’s output without degrading the quality. At least not currently.
minus-squarebountygiver [any]linkfedilinkEnglish0•25 days agoIn which microwavegang already did the job better. Due the full subreddit of mmmmmmmmm, it causes training data that touches it to devolve into all mmmmmmm whenever there’s enough m’s in a sentence
Thank you for testing that out.
My experience with AI is that it’s at a point where it can comprehend something like this very easily, and won’t be tricked.
I suspect that this can, however, pollute a model if it’s included as training data, especially if done regularly, as OP is suggesting.
If it was done with enough regularity to eb a problem, one could just put an LLM model like this in-between to preprocess the data.
That doesn’t work, you can’t train models on another model’s output without degrading the quality. At least not currently.
In which microwavegang already did the job better. Due the full subreddit of mmmmmmmmm, it causes training data that touches it to devolve into all mmmmmmm whenever there’s enough m’s in a sentence