|
|
|
|
| LEADER |
05464nmm a2200457 u 4500 |
| 001 |
EB002228110 |
| 003 |
EBX01000000000000001365070 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
240903 ||| eng |
| 050 |
|
4 |
|a JF1525.A8
|
| 100 |
1 |
|
|a Pulapaka, Sanjeev
|
| 245 |
0 |
0 |
|a Empowering the public sector with generative AI
|b from strategy and design to real-world applications
|c Sanjeev Pulapaka, Srinath Godavarthi and Sherry Ding
|
| 246 |
3 |
1 |
|a Empowering the public sector with generative artificial intelligence
|
| 250 |
|
|
|a [First edition]
|
| 260 |
|
|
|a New York, NY
|b Apress
|c 2024
|
| 300 |
|
|
|a 322 pages
|b illustrations
|
| 505 |
0 |
|
|a Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Acknowledgments -- Preface -- Foreword -- Chapter 1: Introduction to Generative AI -- 1.1 What Is AI? -- 1.2 AI and Estimating Home Prices -- 1.2.1 Machine Learning -- 1.2.2 How Machine Learning Algorithms Work -- 1.2.3 Artificial Neural Networks and Deep Learning -- 1.3 Different Types of Learning Tasks -- 1.3.1 Supervised Learning -- 1.3.2 Unsupervised Learning -- 1.3.3 Reinforcement Learning -- 1.3.4 Self-Supervised Learning -- 1.4 What Is GenAI and Where Does It Fit? -- 1.5 Examples of Foundation Models
|
| 505 |
0 |
|
|a 3.3 GenAI Risks and Challenges Within the Public Sector -- 3.3.1 Data Bias -- 3.3.2 Data Privacy and Security -- 3.3.3 Content Safety: Misinformation and Disinformation -- 3.3.4 Lack of Transparency and Explainability -- 3.3.5 Social and Economic Impact -- 3.3.6 Model Bias and Discrimination -- 3.3.7 Regulatory Compliance, Legal, Copyright, and Liability -- 3.3.8 Challenges with People, Process, Technology, and Data -- People -- Process -- Technology -- Data -- 3.4 High-Level GenAI Implementation Framework -- 3.4.1 Implementation from a People Perspective
|
| 505 |
0 |
|
|a 1.6 How an LLM Works -- 1.6.1 Pre-training -- 1.6.2 Inference -- 1.7 How Image Generation FMs Work -- 1.7.1 Pre-training -- 1.7.2 Inference -- 1.8 Key Takeaways -- 1.9 Conclusion -- Chapter 2: GenAI and the Public Sector -- 2.1 Characteristics of a PSO -- 2.1.1 Mission -- 2.1.2 Budget Size -- 2.1.3 Type and Number of Customers Served -- 2.1.4 Employees -- 2.2 Public Sector Challenges: A Closer Look -- 2.2.1 Customer and Employee Experience -- 2.2.2 Data-Driven Decision-Making and Operational Costs -- 2.2.3 IT Systems and Technical Debt -- 2.2.4 Cybersecurity Concerns -- 2.2.5 Other Challenges
|
| 505 |
0 |
|
|a 2.3 How Can GenAI Help PSOs? -- 2.3.1 Content Generation -- 2.3.2 Conversational Agents or Chatbots -- 2.3.3 Content Summarization -- 2.3.4 Business Intelligence, Analytics, and Reporting -- 2.4 Conclusion -- Chapter 3: GenAI Strategy: A Blueprint for Successful Adoption -- 3.1 GenAI Strategy and Blueprint -- 3.1.1 Align GenAI with Mission Objectives -- 3.1.2 Establish PSO-Wide Policies, Acquisition, and Operating Guidelines -- 3.1.3 Establish AI/GenAI Center of Excellence (ACOE) -- 3.1.4 Identify and Prioritize GenAI Use Cases
|
| 505 |
0 |
|
|a 3.1.5 Establish Tactical Road Map for Production Rollout and Operations -- 3.1.6 Ensure Compliance with Federal, State, and Local GenAI and AI Guidance and Regulations -- 3.2 GenAI Implementation -- 3.2.1 Business Problem Definition and Planning Stage -- 3.2.2 Data Collection and Processing -- 3.2.3 FM Evaluation and Selection -- 3.2.4 FM Training and Fine-Tuning -- 3.2.5 Application and Orchestration Layer Development -- 3.2.6 Testing, Validation, Monitoring, and Auditing -- 3.2.7 Production Deployment -- 3.2.8 Continuous Monitoring, Auditing, and Fine-Tuning
|
| 505 |
0 |
|
|a Includes bibliographical references and index
|
| 653 |
|
|
|a Public administration / Technological innovations
|
| 653 |
|
|
|a Administration publique (Science) / Innovations
|
| 653 |
|
|
|a Artificial intelligence / http://id.loc.gov/authorities/subjects/sh85008180
|
| 653 |
|
|
|a artificial intelligence / aat
|
| 653 |
|
|
|a Intelligence artificielle
|
| 700 |
1 |
|
|a Godavarthi, Srinath
|e author
|
| 700 |
1 |
|
|a Ding, Sherry
|e author
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 028 |
5 |
0 |
|a 10.1007/979-8-8688-0473-1
|
| 776 |
|
|
|z 9798868804724
|
| 776 |
|
|
|z 9798868804731
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9798868804731/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 352.3/802854678
|
| 082 |
0 |
|
|a 658
|
| 082 |
0 |
|
|a 500
|
| 082 |
0 |
|
|a 338
|
| 520 |
|
|
|a 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
|