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Generative AI for FinTech

Generative Artificial Intelligence (GenAI) has emerged as a groundbreaking technology, enabling machines to create, mimic, and innovate in unprecedented ways. This white paper presents an in-depth exploration of Generative AI, shedding light on its underlying principles, techniques, and applications. We examine various generative models, including Generative Adversarial Networks (GANs), Variational AutoEncoders (VAEs), and autoregressive models, while elucidating the training methodologies and evaluation metrics employed in this field. Additionally, we investigate the diverse range of applications, from creative domains like art, music, and storytelling to practical areas like data augmentation and synthesis. The paper also addresses the ethical implications associated with Generative AI and outlines potential challenges and future directions for this cutting-edge technology.

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