NumPy quickly becomes complex as dimensions increase; while two dimensions may appear straightforward, adding more can lead to significant challenges in managing data effectively.
The einsum function simplifies complex tensor operations while allowing flexibility in specifying output dimensions, making it highly useful for machine learning applications.
