Generative AI for Automated Content Creation and Personalization
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Abstract
Generative AI has revolutionized content creation across industries such as marketing, education, and entertainment. This paper explores the application of generative models like GPT and diffusion models for automated text, image, and multimedia content generation. The study evaluates model performance in terms of creativity, coherence, and personalization. Results indicate that generative AI significantly enhances user engagement while reducing content production time. Ethical concerns such as bias and misinformation are also discussed.
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References
Asopa, P., Purohit, P., Nadikattu, R. R., & Whig, P. (2021). Reducing carbon footprint for sustainable development of smart cities using IoT. In Proceedings of the Third International Conference on Intelligent Communication Technologies.
Whig, P., Velu, A., & Nadikattu, R. R. (2022). The economic impact of AI-enabled blockchain in 6G-based industry. In AI and blockchain technology in 6G wireless network (pp. 205–224).
Whig, P., Velu, A., & Nadikattu, R. R. (2022). Blockchain platform to resolve security issues in IoT and smart networks. In AI-enabled agile internet of things for sustainable FinTech ecosystems (pp. 46–65).
Vaddadi, S. A., Vallabhaneni, R., & Whig, P. (2023). Utilizing AI and machine learning in cybersecurity for sustainable development through enhanced threat detection and mitigation. International Journal of Sustainable Development Through AI, ML and IoT, 2(2).