Have ADHD, picking up a pencil intermittently when we have the executive function. Shit's harder for us but come on.

We'd mind a lot less if people treated it like getting a commission. Sure, it's cool that there's art of your character, but you didn't do the drawing, you just gave some specifics.

Large language models are designed to generate text based on previous text. Translation from audio to text can be done via a neural net but it isn’t a Large Language Model.

Now, could you combine the two to say reduce error on words that were mumbled by having a generative model predict the words that would fit better in that unclear sentence. However you could likely get away with a much smaller and faster net than an LLM in fact you might be able to get away with using plain-Jane markov chains, no machine learning necessary.

Point is that there is a difference between LLMs and other neural nets that produce text.

In the case of audio to text translation, using an LLM would be very inefficient and slow (possibly to the point it isn’t able to keep up with the audio at all), and using a very basic text generation net or even just a probabilistic algorithm would likely do the job just fine.

How would an llm fix a mistake equivalent to something being misheard? I feel like you're misunderstanding something and could probably also use some help with your English.

This is a big part of it. Back when ai was first becoming big, my manager said they needed to run all my kb articles through an ai to generate link clouds or some such.

I was like umm.. that’s a service this platform has always offered..? Like just because you don’t know what the kb tools do, or what our rock bottom subscription gets us, doesn’t mean I haven’t looked into it.. but that also isn’t worth doing because now we only have a handful of articles in any given category because I’m good at my job..

It's kind of the other way around, we've always had AI, it used to just basically mean a computer making some decision based on data. Like a thermostat changing the heating in response to a temperature change.

Then we got LLMs and because they are good at pretending to have complex reasoning ability, AI as a term started to always mean "computer with near human level intelligence" which of course they are absolutely not.

I have to disagree with you. Ai is never a more accurate way to describe what we have now. Not until they call true ai something different.

I know its a weird hill to die on, but die on it I will. Calling one artifical intelligence and one virtual intelligence could work.

Also it's my understanding that LLMs are considered a type of neural net so I don't see it being more accurate to call it a neural net vs a llm.

And they are all subsets of machine learning so calling it an ml model leads me back to the same issue I have with "ai". (And the same reason those loser usb fucks can suck a bag of dildos) lack of clairty of what it actually can do.