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020 _a9798868804731
_9979-8-8688-0473-1
024 7 _a10.1007/979-8-8688-0473-1
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
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_2thema
100 1 _aPulapaka, Sanjeev.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981461
245 1 0 _aEmpowering the Public Sector with Generative AI
_h[electronic resource] :
_bFrom Strategy and Design to Real-World Applications /
_cby Sanjeev Pulapaka, Srinath Godavarthi, Sherry Ding.
250 _a1st ed. 2024.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2024.
300 _aXXII, 309 p. 31 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aArtificial intelligence.
_958441
650 0 _aMachine learning.
_955059
650 0 _aPython (Computer program language).
_964608
650 0 _aCloud Computing.
_958386
650 1 4 _aArtificial Intelligence.
_958441
650 2 4 _aMachine Learning.
_955059
650 2 4 _aPython.
_947553
650 2 4 _aCloud Computing.
_958386
700 1 _aGodavarthi, Srinath.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981462
700 1 _aDing, Sherry.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981463
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9798868804724
776 0 8 _iPrinted edition:
_z9798868804748
856 4 0 _uhttps://doi.org/10.1007/979-8-8688-0473-1
912 _aZDB-2-CWD
912 _aZDB-2-SXPC
999 _c62005
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