When should I use multiprocessing in AI?

When should I use multiprocessing in AI?

You should use multiprocessing in AI when you need to handle large datasets or perform computationally intensive tasks.

Can you give me an example of a task that benefits from multiprocessing?

Sure! Training deep learning models on large datasets can be significantly sped up using multiprocessing.

Are there any downsides to using multiprocessing?

Yes, multiprocessing can introduce complexity in code and may lead to issues like race conditions if not managed properly.

How does multiprocessing compare to multithreading in AI?

Multiprocessing uses multiple processes, which can run on separate CPU cores, while multithreading uses threads within a single process, which can be limited by Python's Global Interpreter Lock (GIL).