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Generative AI for Cloud Solutions

You're reading from   Generative AI for Cloud Solutions Architect modern AI LLMs in secure, scalable, and ethical cloud environments

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781835084786
Length 300 pages
Edition 1st Edition
Languages
Tools
Concepts
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Authors (2):
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Paul Singh Paul Singh
Author Profile Icon Paul Singh
Paul Singh
Anurag Karuparti Anurag Karuparti
Author Profile Icon Anurag Karuparti
Anurag Karuparti
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1:Integrating Cloud Power with Language Breakthroughs
2. Chapter 1: Cloud Computing Meets Generative AI: Bridging Infinite Impossibilities FREE CHAPTER 3. Chapter 2: NLP Evolution and Transformers: Exploring NLPs and LLMs 4. Part 2: Techniques for Tailoring LLMs
5. Chapter 3: Fine-Tuning – Building Domain-Specific LLM Applications 6. Chapter 4: RAGs to Riches: Elevating AI with External Data 7. Chapter 5: Effective Prompt Engineering Techniques: Unlocking Wisdom Through AI 8. Part 3: Developing, Operationalizing, and Scaling Generative AI Applications
9. Chapter 6: Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps 10. Chapter 7: Deploying ChatGPT in the Cloud: Architecture Design and Scaling Strategies 11. Part 4: Building Safe and Secure AI – Security and Ethical Considerations
12. Chapter 8: Security and Privacy Considerations for Gen AI – Building Safe and Secure LLMs 13. Chapter 9: Responsible Development of AI Solutions: Building with Integrity and Care 14. Part 5: Generative AI – What’s Next?
15. Chapter 10: The Future of Generative AI – Trends and Emerging Use Cases 16. Index 17. Other Books You May Enjoy

Who this book is for

This book is primarily aimed at technologists or general readers who would like to get a better understanding of generative AI and how to apply it to a cloud environment.

This book assumes you have little to no knowledge of generative AI, as we build from a basic understanding to some of the more complex concepts and patterns that a cloud environment may present.

The target audience of this content is as follows:

  • Technologists, including solution architects, cloud developers, data scientists, technology managers, and technical business leaders who want to understand the broader picture of generative AI as well as strategies for an effective, robust, and scalable generative AI solution/service.
  • Businesses and organizations who want to make the most of AI/generative AI.
  • Casual readers who want to learn more about generative AI and ChatGPT.
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