Generative AI Transformation: A Guide for Everyone
Vemula, Anand
- 出版商: Independently Published
- 出版日期: 2024-06-09
- 售價: $970
- 貴賓價: 9.5 折 $922
- 語言: 英文
- 頁數: 60
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798327992849
- ISBN-13: 9798327992849
- 
    相關分類:
    
      Large language model
 
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商品描述
Gen AI Transformation: A Guide for Everyone" offers a comprehensive exploration of the transformative potential of General AI (Gen AI) for both general readers and developers. The book serves as a roadmap to understanding the evolution, applications, and societal impacts of Gen AI, making complex concepts accessible to all.
Starting with an overview of Gen AI, the book delves into its historical context, key differences from narrow AI, and the imperative need for transformation in various domains. It explains fundamental concepts like intelligence, machine learning, and neural networks in simple terms, making it approachable for readers with diverse backgrounds.
The book then explores transformative applications of Gen AI across healthcare, education, business, and daily life, providing real-world examples, case studies, and scenarios to illustrate its potential. From personalized medicine and predictive analytics to intelligent automation and smart cities, readers gain insights into how Gen AI is revolutionizing industries and enhancing human experiences.
In the section on implementing Gen AI, the book offers practical guidance for organizations and individuals, including strategic roadmaps, building Gen AI teams, and data management best practices. It emphasizes the importance of ethical considerations, collaboration, and continuous learning in harnessing the full potential of Gen AI.
Finally, the book explores future horizons, discussing emerging technologies, long-term prospects, and the role of Gen AI in addressing global challenges. It concludes with a call to action, encouraging readers to embrace the Gen AI transformation and actively participate in shaping a future where AI serves the common good
 
 
     
     
     
     
     
     
     
     
     
    
