Why did no one tell me that AI is so boring? I thought I was going to learn about ChatGPT and machine learning but instead it's just an algorithms class with every problem being a state tree or state graph.
AI is boring
Why did no one tell me that AI is so boring? I thought I was going to learn about ChatGPT and machine learning but instead it's just an algorithms class with every problem being a state tree or state graph.
anon that's what machine learning is, you are learning about ML
Closet thing to machine learning I've done in that class is use simulated annealing to generate policies for a problem. We don't even touch q-tables in my AI class and we spent like 4 weeks on breath first search since the concept of a state tree filtered the class and dumbed everything down.
That's because Machine Learning is a subset of AI.
if you want to understand how these models work then you need to know this. if you don’t care then you could have just watched some yt video breaking it down, no need for the course
That's why theres prerequisites such as data structures and algorithms so that the class doesn't have to spend a couple weeks on what a state tree is or how a* is different from uniform cost. AI college courses are just algorithms with a different skin thrown on it.
I mean ai covers more classical techniques besides machine learning right, that’s the point of the course. makes sense it covers these topics
I suppose you both have a point. I wish there communication on what AI but that's partly my fault for expecting something different.
You can modify BFS to act as an AI agent that can solve problems thay you can map to a state graph or state tree which makes it a form of AI. AI isn't as glamorous as it seems.
I'm still a bit confused, BFS just returns the nodes in order. If you're adding a heuristic to it, doesn't it become A*?
First, you have to understand: AI is just a fancy phrase for "stuff we don't have a good time complexity algorithm, or problems where the structure isn't well enough understood to yield a closed form solution". BFS is AI, you only use techniques like that if no simple solution exists.
They teach the simpler methods because morons will just apply whatever the hot ticket AI algorithm is without any thought that there might be a more effective technique. Just because you can do with an LLM doesn't mean you should.
What did you expect to do in that class?
Is BFS AI? I was under the impression that it's just a complete search algorithm on a graph.
Found the second year CS major.
Nah, it's shit for AI. Technically you want to modify DFS so it runs like BFS, so you get the memory benefit of DFS, but with the completeness of BFS. This in and of itself isnt' AI, though. AI is about phrasing the problem in terms of agents making decisions.
You have it exactly backwards. You reduce the AI problem to a search problem, not the other way 'round.
nah CS midwits just love to call every algo involving a graph and traversing it a "BFS problem"
>beta ai student:
>builds ai libraries
>chad indie developer:
>"downloads" that library and simply tells the ai to search for naked cartoons
which one was smarter?
The one that finds 10000 morons to pay for it. Could be anyone of them.
I actually thought it was interesting until all we were doing is deep learning. The classical stuff like kernel methods and bog standard linear classifiers were very fun. But then we started with the black box magic.
>Machine Learning
>shit don't fit
>change parameters
>shit now is overfitting when new data comes in
>change parameters
>shit don't fit
>change parameters
>shit now is overfitting when new data comes in
>change parameters
>shit don't fit
>change parameters
>shit now is overfitting when new data comes in
>change parameters
>shit don't fit
>change parameters
>shit now is overfitting when new data comes in
>change parameters
>shit don't fit
>change parameters
>shit now is overfitting when new data comes in
>change parameters
yo
Because you can virtually represent everything as some sort of geometrical representation (including logic and sets), see Topos theory.
I'm in a AI class too like OP and it's slow as shit. But they don't really explain how to code these algo's well. Any resources for this?
Our last assignment was to code an opposing player (nim) using A* but i couldn't get it quite right.
They have pseudo code and actual code for AI algorithms here.
https://github.com/aimacode
that's because those are the easier things in ML
you're getting filtered already?
What is that? It doesn't make sense to me,