Subtitles is a perfect use case for LLMs.

This feels like the weaponization of disability rights language but I’m not sure.

It definitely is. As someone who actually struggles with severe ADHD this comment makes my piss boil.

No, what you are thinking of is speech to text software, it is much older than LLMs and works in a very different way.

As someone who use a screen reader daily, absolutly the fuck not.

LLMs will invent things out of tin air and ruin any comprehesion. It waste my time rather than help me.

Yeah speech to text models have nothing to do with LLMs and their use for captioning is perfectly fine imo

While speech to text software indeed predates LLMs - LLMs do it as well. I've only tried a few basic (aka free) options so no idea how well they do en masse, but the generated results were at least on par if not better than YouTubes' auto caption.

It might not technically be LLMs though. It could be a different type of "ai". I Just cant stand the "ai" marketing when nothing they are making is actually ai so until they pull their heads out their asses all "ai" models are LLMs to me.

Understandable, AI marketing now is a shitshot, but they are not even AI I think. Just people forget that tech used to do magic before AI existed.

If you use any generic LLM then yes, but there are LLMs (like i said in another reply - its prrobably not a LLM - but as there is no 'real' ai that's what I'm calling all this ai bullshit)
That are trained specifically for captioning/transcripts, just not necessarily done in real time.

Doing it "live" is what increases the error rate.

Nope, they still not good. I using YouTube auto gen subs and they 100% need LLM to fix mistakes.

subtitles have a hard enough time getting the words right without llms.

I will frame it another way.
You cannot automate subtitles or caption.
And I always find reviewing automated output is harder than doing it yourself.

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.

Yes and no. There are specialized models that perform better than general purpose LLM with vastly lower resource use. But… the output part is essentially a language model too, so it’s prone to a lot of the same issues.

They perform A LOT better than traditional models though. So much better it’s not even funny.

LLMs are large language models, they're a specialized category of artificial neural network, which are a way of doing machine learning. All of those topics are under the academic computer science discipline of artificial intelligence.

AI, neural net, or ML model are all way more accurate to say than LLM in this case.

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.

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.

Disabled people using their disability as a reason to defend ai but not acknowledging that disabled people will be the first to suffer when it comes to the climate crisis, water crisis, displacement, lack of privacy, and all kinds of inequity. Ai is not here to help disabled people, its here to further capitalist billionaire goals.

A dog is a kind of animal but that doesn't mean you can describe every animal as a dog.

The term for "true" AI is artificial general intelligence.