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AI systems carry on to evolve at a breakneck pace, opening up new opportunities for innovation:In contrast to traditional neural networks, RNNs are meant to tackle sequential dependencies by sustaining a memory of preceding inputs, enabling them to model temporal designs correctly. For AI engineers, mastering RNNs unlocks the ability to tackle comp