Newer Technologies like Generative Artificial Intelligence, Large language models (LLMs) are developing as revolutionary technologies bridging the gap in collaboration of humans with Information, shaping Digital Experience and Automating the work-flows. Fifteen peer reviewed, English language studies published between early 2023 and 2024 are selected for inclusion to demonstrate research in four thematic areas: applications, detection strategies, controllable generation and ethical implications. Increasingly, LLMs are embedded in the domains like marketing, education, software development and immersive environment because they allow to personalize content and dynamically support user interaction. This, however, leads to fast adoptation of the systems which in turn brings up the issues related to algorithmic bias, model transparency, privacy and scalability. Attention is shown on multimodal systems, AI content detection, and control techniques, all of which are increasing in scope and are also, especially in the latter case, still lacking robustness, explainability, and ethical alignment. It finally stresses the role of inter disciplinary cooperation to help the responsible progression of generative AI. The goal of this research is establishing a grounded and forward-looking view on the fast-developing field for other researchers, developers and policy makers alike to build on.