I will probably never really need an in depth understanding of algorithms given I can just prompt "make this efficient". But if you don't understand them, how do you know the LLM is doing the best it can?
I will probably never really need an in depth understanding of algorithms given I can just prompt "make this efficient". But if you don't understand them, how do you know the LLM is doing the best it can?
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Then you get to explore all the different possible representations of these things because you can pick a new way to represent a graph that still follows all the math properties but is totally different than the usual representation.
AI could be used to write a VM to run your programs especially the old tiny MIX computer. The second volume is very relevant to AI right now which is all about numerical methods. MIT has classes on this https://github.com/mitmath/numerical_hub
I guess it still has some value, but obviously no one will be paying you for your ability to optimise a sorting algorithm now.