Generative Artificial Intelligence by Deepika Varshney (.ePUB)+
File Size: 30.9 MB
Generative Artificial Intelligence: Technology and Applications by Deepika Varshney, Preeti Nagrath, Srishti Vashishtha, Victor Hugo C. de Albuquerque
Requirements: .ePUB, .PDF reader, 30.9 MB
Overview: This book comprehensively covers designing and implementing misinformation intervention strategies and risk communication approaches for Generative Artificial Intelligence (AI) technologies. This book provides a comprehensive and application-driven perspective on Generative Artificial Intelligence (GenAI), emphasizing its transformative role in a broad spectrum of real-world scenarios. It not only introduces the foundational principles of Explainable AI (XAI) but also demonstrates how explainability can be embedded within generative models to make them more transparent and trustworthy. This book delves into state-of-the-art generative techniques, including GANs, VAEs, and transformer-based models, while also exploring interpretability methods such as SHAP, LIME, feature attribution, and counterfactual reasoning. These tools are essential in understanding and trusting the decisions made by complex GenAI systems. What sets this book apart is its diverse set of application areas where GenAI is making a significant impact. From image generation and Computer Vision to education technologies, plant disease diagnosis, marketing analytics, stock market forecasting, and social media content moderation and security, this book highlights how generative models are being tailored to solve domain-specific challenges with precision and creativity.
Genre: Non-Fiction > Tech & Devices
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