Can you explain what parallel processing is in the context of AI?
Sure! Parallel processing in AI refers to the simultaneous execution of multiple computations or tasks to improve efficiency and speed.
How does it differ from serial processing?
In serial processing, tasks are completed one after another, while in parallel processing, multiple tasks are handled at the same time.
What are some examples of parallel processing in AI?
Examples include training neural networks using multiple GPUs or processing large datasets in chunks simultaneously.
Are there any challenges associated with parallel processing?
Yes, challenges include managing data dependencies, ensuring synchronization, and dealing with potential bottlenecks.
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