edit to clarify a misconception in the comments, this is an instagram post so “caption” refers to the description under the image or video
as an example, this text i am typing now is also a “caption”
just saying because someone started a debate misunderstanding this to be about subtitles (aka “closed captions”) and that’s just not the case 👍
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.
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.
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.
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.
Then call it ML or a neural net. Using the term LLM like you are for other forms of machine learning is just going to cause needless confusion, like it has in this thread.
No. “Machine learning” is the root of the tree.
Or to steal another commenters attempts to have me call it that - that would be like calling a chihuahu a wolf.
Machine learning -> neural net -> LLM. Thats the basic “path”. I dont CARE if LLM is technically wrong when using machine learning or neural net is also inaccurate.
If anything yall should be arguing for me to call it ASR 2.0
I just use ML to describe everything that isn’t overhyped “AI” instead of making a big deal out of it but to each their own ig
You need to spend less time watching movies and more time watching computer science lectures. We had AI back in the 1960s.
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.