this post was submitted on 26 Aug 2024
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The difference is that plant identification is a classification problem, not an LLM.
Not all of AI is LLMs, most aren't.
I think state machines are cool and groovy. I still don't understand genetic algorithms but I wish I did.
15 years ago we were all saying "AI is just a series of IF statements" because of expert systems and y'all forgot
Genetic algorithms kinda suck as they use random variations and breeding to solve a problem which is much slower than using backpropagation with any decent reward modeler. It's the difference between selective breeding and gene splicing in the real world.
The most annoying thing since the rise of LLMs is that everyone thinks that all of AI is just LLMs
Classification machine learning models can also be neural networks, which is something that was called AI also
Yeah I used to think that reinforcement learning would be trending. But hey, maybe next time.
AI isn't just about LLM. Modern AI libraries (pytorch, tensorflow etc.) can be used for being trained with all sorts of data.
Some customer support "bots" could be considered classification problems, no? At least in so far as which department does a call get routed to.
At least it's routing you to a department instead of trying to help you solve the issue yourself by showing you different help pages you already looked at before trying to contact support.
If you actually looked at the help pages before contacting support, you are in the minority.
Could be. Classification is a type of problem. LLM is a type of model. You can use LLMs to solve classification problems. There's a good chance that's what's happening here.
I would guess it is a conv neural network which is probably similar to what is being used in any image/video related AI such as deep fakes