What is multiprocessing in AI?
Multiprocessing in AI refers to the ability to run multiple processes simultaneously to improve performance and efficiency.
How does it differ from multithreading?
While multiprocessing uses multiple processes, multithreading uses multiple threads within a single process. Multiprocessing can utilize multiple CPU cores.
What are the benefits of using multiprocessing?
The benefits include faster processing times, better resource utilization, and the ability to handle larger datasets.
Can you give an example of multiprocessing in AI?
Sure! Training a deep learning model can be parallelized using multiprocessing to handle different batches of data simultaneously.
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