Table of Contents
Ch1. Cloud Computing Meets Generative AI: Bridging Infinite Impossibilities
Ch2, NLP Evolution and Transformers: Exploring NLPs and LLMs
Ch3. Fine-Tuning: Building Domain-Specific LLM Applications
Ch4. RAGs to Riches: Elevating AI with External Data
Ch5. Effective Prompt Engineering Strategies: Unlocking Wisdom Through AI
Ch6. Developing and Operationalising LLM-Based Cloud Applications: Exploring Dev Frameworks and LLMOps
Ch7. Deploying ChatGPT in the Cloud: Architecture Design and Scaling Strategies
ch8. Security and Privacy Considerations for Gen AI: Building Safe and Secure LLMs
Ch9. Responsible Development of AI Solutions: Building with Integrity and Care
Ch10. Future of Generative AI: Trends and Emerging Use Cases

Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI.
Key Features
Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud.
Understand advanced techniques for customising LLMs for organisations via fine-tuning, prompt engineering, and responsible AI.
Peek into the future to explore emerging trends like multimodal AI and autonomous agents.
Purchase of the print or Kindle book includes a free PDF eBook.
Book Description
Generative artificial intelligence technologies and services, including ChatGPT, are transforming our work, lives, and communication. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you'll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you'll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customise your AI applications to suit your specific requirements. By the end of this book, you'll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.
What you will learn
Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together
Understand how we started applying NLP to concepts like transformers.
Grasp the process of fine-tuning and developing RAG-based apps.
Explore effective prompt engineering strategies.
Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs
Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI.
Who this book is for
This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understand the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI and are suitable for readers with basic to no prior AI experience who aspire to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.