What are some real-world examples of multiprocessing in AI?
Multiprocessing in AI is used in various applications. For instance, in image processing, multiple images can be processed simultaneously to speed up tasks like object detection.
Can you give me more examples?
Sure! In natural language processing, multiprocessing helps in training models on large datasets by distributing the workload across multiple processors.
How does multiprocessing improve performance in AI?
Multiprocessing improves performance by allowing parallel execution of tasks, reducing the time needed for computations and enabling the handling of larger datasets.
Are there any specific frameworks that support multiprocessing in AI?
Yes, frameworks like TensorFlow and PyTorch have built-in support for multiprocessing, making it easier to implement parallel processing in AI models.
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