We already have text prediction that works more efficiently (from a power and computing point of view) by using things like trees.
There’s very few use-cases I’ve seen where AI is more efficient than an algorithm, and it’s mostly in areas where it does a bunch of tests/research/simulation inputs by throwing random shit at the wall that users wouldn’t normally try really fast.
AI is basically useless when you’re doing something that’s easily repeatable, because it’s easier to actually implement tools that use algorithms to do that kind of thing.
We already have text prediction that works more efficiently (from a power and computing point of view) by using things like trees.
There’s very few use-cases I’ve seen where AI is more efficient than an algorithm, and it’s mostly in areas where it does a bunch of tests/research/simulation inputs by throwing random shit at the wall that users wouldn’t normally try really fast.
AI is basically useless when you’re doing something that’s easily repeatable, because it’s easier to actually implement tools that use algorithms to do that kind of thing.
My brother in Christ, a LLM is a tree
neural network tools seem really powerful for image filtering and video compression.