Book Image

Generative AI for Cloud Solutions

By : Paul Singh, Anurag Karuparti
Book Image

Generative AI for Cloud Solutions

By: Paul Singh, Anurag Karuparti

Overview of this book

Generative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. 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 customize 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.
Table of Contents (18 chapters)
Free Chapter
Part 1:Integrating Cloud Power with Language Breakthroughs
Part 2: Techniques for Tailoring LLMs
Part 3: Developing, Operationalizing, and Scaling Generative AI Applications
Part 4: Building Safe and Secure AI – Security and Ethical Considerations
Part 5: Generative AI – What’s Next?

Part 1:Integrating Cloud Power with Language Breakthroughs

This part introduces Generative AI through the lens of Large Language Models (LLMs), highlighting the substantial impetus this domain has received from advancements in cloud computing. The progressive evolution of Natural Language Processing (NLP) culminated in the development of the Transformer architecture, a pivotal foundation for LLMs. We will detail its innovative mechanisms and core principles. Additionally, we will also explore the journey of turning visionary AI ideas into tangible realities.

This part contains the following chapters:

  • Chapter 1, Cloud Computing Meets Generative AI: Bridging Infinite Impossibilities
  • Chapter 2, NLP Evolution and Transformers: Exploring NLPs and LLMs