edit to clarify a misconception in the comments, this is an instagram post so ācaptionā refers to the description under the image or video
as an example, this text i am typing now is also a ācaptionā
just saying because someone started a debate misunderstanding this to be about subtitles (aka āclosed captionsā) and thatās just not the case š
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 itās my understanding that LLMs are considered a type of neural net so I donāt 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 āaiā. (And the same reason those loser usb fucks can suck a bag of dildos) lack of clairty of what it actually can do.
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. āMachine learningā 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 āpathā. 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 isnāt overhyped āAIā instead of making a big deal out of it but to each their own ig
A dog is a kind of animal but that doesnāt mean you can describe every animal as a dog.
The term for ātrueā AI is artificial general intelligence.
You need to spend less time watching movies and more time watching computer science lectures. We had AI back in the 1960s.