Generative AI for Cloud Solutions
Architect modern AI LLMs in secure, scalable, and ethical cloud environments
Published on 22. April 2024
Book
Paperback/Softback
300 pages
978-1-83508-478-6 (ISBN)
Description
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 DescriptionGenerative 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 forThis 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.
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 DescriptionGenerative 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 forThis 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.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 16 mm
Weight
564 gr
ISBN-13
978-1-83508-478-6 (9781835084786)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Paul Singh | Anurag Karuparti
Generative AI for Cloud Solutions
Architect modern AI LLMs in secure, scalable, and ethical cloud environments
E-Book
09/2024
Packt Publishing
€26.99
Available for download
Persons
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.
Content
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
Responsible Development of AI Solutions: Building with Integrity and Care
Future of Generative AI: Trends and Emerging Use Cases
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
Responsible Development of AI Solutions: Building with Integrity and Care
Future of Generative AI: Trends and Emerging Use Cases