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Generative artificial intelligence is a cutting-edge technology that creates new content in a variety of media which includes text, graphics, and music, just like human creativity. To fully explore the possibilities of generative AI, this research article discusses the underlying technologies of Transformer models, Variational autoencoder (VAEs), and Generative Adversarial Networks (GANs). It explores the various uses of generative AI in IT operations, data augmentation, and natural language processing, emphasizing how it is revolutionizing these fields. With an emphasis on responsible AI use, ethical issues about privacy problems and biases in created information are also covered. To demonstrate the field's ongoing development, recent developments in generative AI—such as Sora and DEVIN AI—are reviewed. The goal of this paper is to shed light on how generative AI may transform several industries while properly addressing societal issues.
Deepak Sahu (Wed,) studied this question.
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