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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 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

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “The term foundation models was coined by Stanford in 2021 in the paper “On the Opportunities and Risks of Foundation Models” (https://arxiv.org/pdf/2108.07258.pdf). ”

A block of code is set as follows:

from langchain.text_splitter import ( 
    RecursiveCharacterTextSplitter, 
    Language, 
)

Any command-line input or output is written as follows:

['Ladies and Gentlemen, esteemed colleagues, and honored guests. Esteemed leaders and distinguished members', 'emed leaders and distinguished members of the community. Esteemed judges and advisors. My fellow citizens.', '. My fellow citizens. Last year, unprecedented challenges divided us. This year, we stand united,', ', we stand united, ready to move forward together']

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “There are already countless transformer models, such as GPT, Llama 2, Dolly, BERT, BART, T5, and so on.”

Tips or important notes

Appear like this.

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