Empowering the Public Sector with Generative AI : From Strategy and Design to Real-World Applications / by Sanjeev Pulapaka, Srinath Godavarthi, Sherry Ding.

Format:

Book

Author/Creator:

Pulapaka, Sanjeev.

Contributor:

Godavarthi, Srinath.

Ding, Sherry.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Python (Computer program language).

Cloud computing.

Artificial Intelligence.

Machine Learning.

Python.

Cloud Computing.

Local Subjects:

Artificial Intelligence.

Machine Learning.

Python.

Cloud Computing.

Physical Description:

1 online resource (322 pages)

Edition:

1st ed. 2024.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2024.

Summary:

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. 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.

Contents:

Chapter 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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Pulapaka, Sanjeev Empowering the Public Sector with Generative AI

ISBN:

9798868804731

OCLC:

1450302566