Abstract

Throughout industries, intelligent machines are transforming tasks, significantly reducing human labour, lowering error rates, and boosting productivity and accuracy. Deep learning and natural language processing are fundamental in the field of artificial intelligence, the cornerstone for creating these transformative machines. This study presents a novel perspective on the role of intelligent machines in our daily lives, underlining the urgency of comprehending natural language and producing machine-level natural language for these smart machines. We also provide an overview of the recurrent and concurrent neural network models used in deep learning.

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