Comprehensive Review of Generative artificial Intelligence: Mechanisms, Models, and Applications
Shivani Pahuja, Sonal Kukreja, Akansha Singh · Procedia Computer Science · 2025
Generative artificial Intelligence is a kind of artificial Intelligence which generates new content for the user like text, images, product suggestion etc. In the current era, we can see for the very first time that humans are performing supervision where as machines are generating and so it is shredding of down the difficult and risky tasks from the human’s shoulder. In this way, its a complete paradigm shift for the future of jobs. Generative AI will bring a revolutionary change in the life of human as happened few years back when came the concept of photography which helped us to no longer rely on the interpretation of an artist to capture the reality. The purpose of our comprehensive study is to review the mechanism of generative AI and their models with its applications in the current era. Firstly various fundamental models namely Natural language models, text-to-image models, GAN’s, VAE’s, and RLHF are discussed in detail. Furthermore, our comprehensive study explores the various kinds of Language models along with their detailed architecture. This study seeks to provide a comprehensive overview and taxonomy of generative models in order to better comprehend its wide applications. We concluded this paper with a comparative study among various language models of Generative artificial Intelligence.