yhea, and “everything is a nail if all you got is a hammer”.
there are some uses for that kind of AI, but very limiting. less robotic voice assisants, content moderation, data analysis, quantification of text. the closest thing to Generative use should be to improve auto complete and spell checking (maybe, I’m still not sure on those ones)
Well right now I have autocorrect changing real words for jumbles of letters due to years of myself working with acronyms and autocomplete changing words like both to bitch, for to fuck, etc. due to systems changing less used words for more used words (making the issue worse).
on top of that, an LLM can check if the sentence makes sense.
like in the previous post, where I accidentally started with “I’m theory” because I use Swype typing and using an LLM to predict the following tokens for the keyboard to know what I likely trying to say.
yhea, and “everything is a nail if all you got is a hammer”.
there are some uses for that kind of AI, but very limiting. less robotic voice assisants, content moderation, data analysis, quantification of text. the closest thing to Generative use should be to improve auto complete and spell checking (maybe, I’m still not sure on those ones)
I was wondering how they could make autocomplete worse, and now I know.
In theory, I can imagine an LLM fine tuned on whatever you type. which might be slightly better then the current ones.
emphasis on the might.
Well right now I have autocorrect changing real words for jumbles of letters due to years of myself working with acronyms and autocomplete changing words like both to bitch, for to fuck, etc. due to systems changing less used words for more used words (making the issue worse).
on top of that, an LLM can check if the sentence makes sense.
like in the previous post, where I accidentally started with “I’m theory” because I use Swype typing and using an LLM to predict the following tokens for the keyboard to know what I likely trying to say.