What are the benefits of parallel computing in AI?
Parallel computing allows AI systems to process large datasets more efficiently, speeding up training and inference.
Can you give me some specific examples of how it's used in AI?
Sure! It's used in deep learning for training neural networks, image processing, and natural language processing tasks.
How does it improve performance compared to traditional computing?
It divides tasks into smaller chunks that can be processed simultaneously, reducing overall computation time significantly.
Are there any limitations to parallel computing in AI?
Yes, challenges include the complexity of programming, data dependency issues, and the need for specialized hardware.
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