Abstract

Generative Artificial Intelligence (AI) is rapidly evolving as a groundbreaking technology that is reshaping the digital landscape. By harnessing the power of machine learning models, generative AI is capable of creating novel data, such as text, images, music, and even code, which has profound implications for various industries. This paper explores the rise of generative AI and its transformative impact on sectors such as healthcare, entertainment, finance, and manufacturing. We examine the key technologies behind generative AI, including Generative Adversarial Networks (GANs), variational autoencoders, and transformer models. Additionally, we explore how generative AI is enhancing creativity, automating tasks, and solving complex problems, while addressing the ethical challenges and potential risks associated with its use. The paper highlights the future of generative AI as it continues to push the boundaries of digital innovation and human creativity.