03837nam a22004815i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153050001400166072001600180072002300196072001500219100008000234245018700314250001800501264005400519300006600573336002600639337002600665338003600691347002400727505053000751520154301281650002902824650002202853650004002875650002102915650002902936650002202965650001202987650002102999700008203020700007503102710003403177773002603211776003603237776003603273856004603309979-8-8688-0473-1DE-He21320251030112656.0cr nn 008mamaa240728s2024    xxu|    s    |||| 0|eng d  a97988688047317 a10.1007/979-8-8688-0473-12doi 4aQ334-342 4aTA347.A78 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema1 aPulapaka, Sanjeev.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aEmpowering the Public Sector with Generative AIh[electronic resource] :bFrom Strategy and Design to Real-World Applications /cby Sanjeev Pulapaka, Srinath Godavarthi, Sherry Ding.  a1st ed. 2024. 1aBerkeley, CA :bApress :bImprint: Apress,c2024.  aXXII, 309 p. 31 illus., 30 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aChapter 1: Introduction to Generative AI -- Chapter 2: Generative AI in the Public Sector -- Chapter 3: Gen AI Strategy: A Blueprint for Successful Adoption -- Chapter 4: Building a Generative AI Application -- Chapter 5: Content Generation -- Chapter 6: Chatbots and Enterprise Search -- Chapter 7: Summarization -- Chapter 8: Program Management, Business Intelligence, and Reporting -- Chapter 9: Implementation Considerations -- Chapter 10: Conclusion -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E.  aThis 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. What You Will Learn GenAI concepts and how GenAI differs from traditional AI/ML Prompt engineering, fine-tuning, RAG, and customizing foundation models Strategy, methodologies, and frameworks for the public sector Public sector use cases in the areas of content generation, summarization, and chatbots, plus program management, analytics, business intelligence, and reporting Architecture and design patterns Implementation, operations, and maintenance of GenAI applications. 0aArtificial intelligence. 0aMachine learning. 0aPython (Computer program language). 0aCloud Computing.14aArtificial Intelligence.24aMachine Learning.24aPython.24aCloud Computing.1 aGodavarthi, Srinath.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 aDing, Sherry.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z979886880472408iPrinted edition:z979886880474840uhttps://doi.org/10.1007/979-8-8688-0473-1