What are the applications of multiprocessing in AI?
Multiprocessing in AI allows for parallel processing of tasks, improving efficiency in data handling and model training.
Can you give me some specific examples of where this is used?
Sure! It's used in training deep learning models, processing large datasets, and running simulations for AI algorithms.
How does it improve the performance of AI models?
It speeds up computations by dividing tasks across multiple processors, reducing training time and enhancing scalability.
Are there any challenges associated with multiprocessing in AI?
Yes, challenges include managing data consistency, overhead from communication between processes, and debugging complexity.
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