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Artificial Intelligence (AI) has made tremendous progress since its inception, and neural networks are an integral part of this modern-day technology. Research is ongoing, and experts debate whether bigger is better in terms of neural network complexity. Traditionally, researchers have focused on constructing neural networks with a large number of parameters to achieve high accuracy on benchmark datasets, but this approach comes with significant challenges such as requiring enormous amounts of computing power, storage, and time to train.