Empowering the public sector with generative AI

• Verfasst von: Pulapaka, Sanjeev [VerfasserIn]
• Verfasst von: Godavarthi, Srinath [VerfasserIn]
• Verfasst von: Ding, Sherry [VerfasserIn]
• Titel: Empowering the public sector with generative AI
• Titelzusatz: from strategy and design to real-world applications
• Verf.angabe: Sanjeev Pulapaka, Srinath Godavarthi and Sherry Ding
• Ausgabe: [First edition].
• Verlagsort: New York, NY
• Verlag: Apress
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (322 pages)
• Illustrationen: illustrations
• Fussnoten: Includes bibliographical references and index
• ISBN: 9798868804731
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Administration publique (Science) ; Innovations
• Sach-SW: Intelligence artificielle
• Sach-SW: artificial intelligence
• K10plus-PPN: 1900848910
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4573906045
• Lokale URL Inst.: Zum Volltext

Abstract

This is your guide book to Generative AI (GenAI) and its application in addressing real-world challenges within the public sector. The book addresses a range of topics from GenAI concepts and strategy to public sector use cases, architecture patterns, and implementation best practices. With a general background in technology and the public sector, you will be able to understand the concepts in this book. The book will help you develop a deeper understanding of GenAI and learn how GenAI differs from traditional AI. You will explore best practices such as prompt engineering, and fine-tuning, and architectural patterns such as Retrieval Augmented Generation (RAG). And you will discover specific nuances, considerations, and strategies for implementation in a public sector organization. You will understand how to apply these concepts in a public sector setting and address industry-specific challenges and problems by studying a variety of use cases included in the book in the areas of content generation, chatbots, summarization, and program management.