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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
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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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Table of Contents (18) Chapters Close

Preface 1. Part 1:Integrating Cloud Power with Language Breakthroughs FREE CHAPTER
2. Chapter 1: Cloud Computing Meets Generative AI: Bridging Infinite Impossibilities 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

Developing and Operationalizing LLM-based Apps: Exploring Dev Frameworks and LLMOps

Have you heard about GitHub Copilot? Claude by Anthropic? Jasper?

If not, these solutions are all applications that have integrated generative AI. That is, they have taken the next step in our AI journey by using LLMs to create more engaging and meaningful interactions with users and other applications. These are just a few examples, with many, many more generative AI-infused applications coming to the market every day!

As you have content already learned from the start of this book, generative AI is a branch of AI that focuses on creating new or enhancing content using existing data. Of course, generative AI can produce text, images, audio, video, or any other type of data that can be represented digitally, and you know that there are countless generative AI large language models (LLMs) already available, with new ones being added each day. Some models are very specific to certain tasks, such...

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