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@article{167904,
        author = {ANJANA U and Dr Mohan S H},
        title = {Artificial Intelligence- Driven content creation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {4},
        pages = {810-817},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167904},
        abstract = {AI driven contents generation which also known as Generative AI is subset of artificial intelligence focused on generating new content, such as images, text, music, and videos that mimics human-like creativity. One of the primary tools utilized in Generative AI is Generative Adversarial Networks (GANs), which consist of two neural networks, the generator and the discriminator, competing against each other to create realistic output. Other techniques include Variational Autoencoders (VAEs), autoregressive models, and reinforcement learning algorithms. Generative Artificial Intelligence (AI) and its associated tools have emerged as transformative technologies with significant implications for various aspects of daily life. This paper explores the role of Generative AI in shaping our day-to-day experiences, highlighting its applications, benefits, and challenges. Furthermore, Generative AI has revolutionized industries such as healthcare, where it aids in medical imaging analysis, drug discovery, and personalized treatment planning. In education, Generative AI facilitates adaptive learning platforms and educational content generation, catering to individual student needs and preferences.},
        keywords = {Generative Adversarial Networks, neural network, Variational Autoencoders, reinforcement learning, Unimodal and Multi modal.},
        month = {September},
        }