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 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
- 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, 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.
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 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 book.
Table of Contents
- Cloud 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
(N.B. Please use the Read Sample option to see further chapters)
Anurag Karuparti is a seasoned Senior Cloud Solution Architect specializing in AI at Microsoft's Azure practice. Anurag holds a Master's degree in Information Management(Data Science) from Syracuse University, and has a background in Computer Engineering. With over 10 years of experience in the industry, Anurag has become a trusted expert in the fields of Cloud, data, and advanced analytics. Anurag holds multiple Azure Certifications and is certified across major cloud platforms. Throughout his career, he has successfully designed and implemented cutting-edge solutions, leveraging the power of artificial intelligence to drive innovation and transform businesses. Prior to joining Microsoft, Anurag gained valuable experience working as a manager in the Emerging Technologies practices of renowned consulting firms such as EY and PwC.
Paul Singh is currently a Principal Cloud Solution Architect (CSA), working at Microsoft for over 10 years. Having been selected as the very first ten CSA's the role was first created, Paul helped shape the role ever since, including being on the national hiring committee(s) as well as helping create the very first Azure Architecture Exam. Paul has earned many honors and awards along the way, while also gaining over 30 different technical certifications, and helping some of the largest Cloud customers with complex scenarios and solutions.
