Authors: Associate Professor Dr.P.Jayalakshmi
Abstract: The use of generative AI within the sphere of digital marketing has completely revolutionized the way in which firms generate and personalize their content. In this paper, I am going to introduce a comprehensive framework for personalized content creation based on the use of large language models and multimodal generative systems. The methodology includes several stages such as audience profiling, prompt engineering, multimodal content generation, and feedback collection. The discussed framework is going to deal with such issues as semantic consistency, personalization level, and content quality evaluation with the help of embedding-based assessment methods. The results of my experimental analysis show that personalized content generation helps to achieve better engagement rates in comparison with non-personalized baselines, with multimodal strategies performing better than single-modality systems.
DOI: http://doi.org/
