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 FeaturesGain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud
Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI
Peek into the future to explore emerging trends like multimodal AI and autonomous agents
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Book Description
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 [...] you will learnGet 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 apps based on RAG
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 understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring 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 [...] of ContentsCloud Computing Meets Generative AI: Bridging Infinite Impossibilities
NLP Evolution and Transformers: Exploring NLPs and LLMs
Fine Tuning: Building Domain Specific LLM Applications
RAGs to Riches: Elevating AI with External Data
Effective Prompt Engineering Strategies: Unlocking Wisdom Through AI
Developing and Operationalizing LLM-Based Cloud Applications: Exploring Dev Frameworks and LLMOps
Deploying ChatGPT in the Cloud: Architecture Design and Scaling Strategies
Security and Privacy Considerations for Gen AI: Building Safe and Secure LLMs
Responsible Development of AI Solutions: Building with Integrity and Care
Future of Generative AI: Trends and Emerging Use Cases