Authors: Dr. V.K. Srivastava, Ms. Aarti
Abstract: Generative AI is a huge step forward in technology that allows computers produce text, visuals, sounds, and even complex designs. This technology comes up with new ideas in a lot of different fields by using cutting-edge models like Generative Adversarial Networks (GANs), Large Language Models (LLMs), and diffusion models. This article discusses about how generative AI apps have changed over time and how they might be useful in the arts, business, healthcare, education, and engineering. The study found that generative AI makes creative work easier, speeds up the design process, personalises learning, and improves diagnoses. But generative AI also raises moral challenges, privacy concerns, biases, and areas of the law that aren't clear. The paper talks about these issues and how to fix them, highlighting how important it is for people from different professions to work together to build AI systems that are strong, fair, and open. It also talks about how to make generative AI more aware, adaptable, and accurate. The study highlights how crucial it is to put laws and morals in place so that as many people as possible can utilise AI in a responsible way. Some of the goals for the future are to make AI easier to use, rules easier to obey, and to promote innovation that is culturally and socially diverse. Generative AI can solve these difficulties and help firms in a lot of different industries be more creative, productive, and inventive.
DOI: http://doi.org/
