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