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
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.
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.
(N.B. Please use the Read Sample option to see further chapters)
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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.
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.
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