What do you think?
Rate this book
Enterprise GENERATIVE AI Well Architected Framework & Patterns: An Architect’s Real-life Guide to Adopting Generative AI in Enterprises at Scale
Welcome to the "Enterprise Generative AI Well Architected Framework & Patterns" a comprehensive step by step guide designed for Enterprise IT Professionals to explore the cutting-edge world of generative artificial intelligence (AI) systems within the context of enterprise applications.
What you will learn from this
1. Insights into Generative AI and the Enterprise Architecture surrounding this ecosystem.
2. Learn the Well-Architected framework for designing and building Enterprise Generative AI solutions.
3. Identify various architectural patterns for Large Language Model (LLM) adoption.
4. Make informed decisions on whether to use Retrieval Augmented Generation (RAG) or fine-tuned LLM for your enterprise use case.
5. Acquire hands-on knowledge of Prompt Engineering, Embedding, and Vector databases.
As most of the businesses continue to embrace AI-driven solutions to streamline processes, drive automation and generate valuable insights, the importance of robust and scalable generative AI architectures becomes increasingly evident. When I decided to explore the Generative AI solutions, as a Solutions Architect I faced a lot of challenges, roadblocks and at the same time learned a lot while exploring many tools and technologies during the initial steps. My everyday learning and challenges pushed me to come up with generic well architected frameworks for my fellow IT professionals to build world class software to delight the Enterprise stakeholders following the existing common LLM integration and adoption pattern.
This book is intended to provide readers with a clear understanding of the fundamental principles, methodologies, and best practices for implementing generative AI in large-scale enterprise environments. Whether you are a seasoned AI practitioner(Architects, Engineers / Engineering Managers or Product Managers) seeking to deepen your knowledge or an enterprise leader (VPs, CXOs, Founders) exploring the potential of Generative AI for your organization, this book offers valuable insights into leveraging the power of generative models effectively and responsibly. We will also discuss the challenges and ethical considerations associated with deploying AI systems in enterprise settings and provide strategies to address these concerns.
I hope that "Enterprise Generative AI Well-Architected Framework & Patterns" will prove to be a valuable resource on your journey to unlock the potential of generative AI within your organization.
What you will learn from this
1. Insights into Generative AI and the Enterprise Architecture surrounding this ecosystem.
2. Learn the Well-Architected framework for designing and building Enterprise Generative AI solutions.
3. Identify various architectural patterns for Large Language Model (LLM) adoption.
4. Make informed decisions on whether to use Retrieval Augmented Generation (RAG) or fine-tuned LLM for your enterprise use case.
5. Acquire hands-on knowledge of Prompt Engineering, Embedding, and Vector databases.
As most of the businesses continue to embrace AI-driven solutions to streamline processes, drive automation and generate valuable insights, the importance of robust and scalable generative AI architectures becomes increasingly evident. When I decided to explore the Generative AI solutions, as a Solutions Architect I faced a lot of challenges, roadblocks and at the same time learned a lot while exploring many tools and technologies during the initial steps. My everyday learning and challenges pushed me to come up with generic well architected frameworks for my fellow IT professionals to build world class software to delight the Enterprise stakeholders following the existing common LLM integration and adoption pattern.
This book is intended to provide readers with a clear understanding of the fundamental principles, methodologies, and best practices for implementing generative AI in large-scale enterprise environments. Whether you are a seasoned AI practitioner(Architects, Engineers / Engineering Managers or Product Managers) seeking to deepen your knowledge or an enterprise leader (VPs, CXOs, Founders) exploring the potential of Generative AI for your organization, this book offers valuable insights into leveraging the power of generative models effectively and responsibly. We will also discuss the challenges and ethical considerations associated with deploying AI systems in enterprise settings and provide strategies to address these concerns.
I hope that "Enterprise Generative AI Well-Architected Framework & Patterns" will prove to be a valuable resource on your journey to unlock the potential of generative AI within your organization.
- GenresArtificial Intelligence
115 pages, Paperback
Published September 11, 2023
22 people are currently reading
10 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 4 of 4 reviews
January 14, 2024
One book which every leader should read to get a quick understanding.
October 24, 2023
focused on solutions
There’s a ton of AI material out there that goes way down the rabbit hole. I was looking for pragmatic design patterns and there’s a lot less material about that. This book was 80 concise and relevant pages and well worth the read.
There’s a ton of AI material out there that goes way down the rabbit hole. I was looking for pragmatic design patterns and there’s a lot less material about that. This book was 80 concise and relevant pages and well worth the read.
March 1, 2024
Enterprise GENERATIVE AI Well Architected Framework & Patterns by Suvoraj Biswas presents a pragmatic and insightful exploration of generative artificial intelligence (AI) in enterprise settings. Drawing from his extensive experience as a Solutions Architect, Biswas skillfully outlines various frameworks and approaches that will greatly benefit IT professionals. The book introduces the necessity of a well-architected framework for GenAI in enterprise applications, covering topics like Large Language Models, content moderation, observability solutions, and cost optimization practices.
Biswas's work is notable for its clarity and practicality, particularly in how it makes complex concepts accessible. One of the book's strengths is its use of real-world examples, such as the development of a QnA chatbot for legal teams, which effectively illustrates the cost-effectiveness of the RAG pattern in handling organization-specific, dynamic data. The book is well-structured, featuring reader-friendly content augmented by illustrative pictures and clear segmentations. It's a valuable resource not just for its theoretical insights but also for its practical applications. Readers looking to implement these lessons will find the discussions on open-source tools and offerings from leading software providers like LangKit and Langfuse particularly useful. Additionally, the inclusion of actual code and screenshots of OpenAI prompts is a commendable aspect that enhances the book's utility.
Enterprise GENERATIVE AI Well Architected Framework & Patterns stands out as a comprehensive resource for understanding and applying sophisticated technological strategies in the realm of AI. It's an essential read for AI professionals and enterprise leaders seeking to deepen their knowledge of Generative AI or explore its various organizational benefits. This book is particularly timely, offering valuable guidance for maintaining competitiveness in the rapidly evolving AI landscape.
Biswas's work is notable for its clarity and practicality, particularly in how it makes complex concepts accessible. One of the book's strengths is its use of real-world examples, such as the development of a QnA chatbot for legal teams, which effectively illustrates the cost-effectiveness of the RAG pattern in handling organization-specific, dynamic data. The book is well-structured, featuring reader-friendly content augmented by illustrative pictures and clear segmentations. It's a valuable resource not just for its theoretical insights but also for its practical applications. Readers looking to implement these lessons will find the discussions on open-source tools and offerings from leading software providers like LangKit and Langfuse particularly useful. Additionally, the inclusion of actual code and screenshots of OpenAI prompts is a commendable aspect that enhances the book's utility.
Enterprise GENERATIVE AI Well Architected Framework & Patterns stands out as a comprehensive resource for understanding and applying sophisticated technological strategies in the realm of AI. It's an essential read for AI professionals and enterprise leaders seeking to deepen their knowledge of Generative AI or explore its various organizational benefits. This book is particularly timely, offering valuable guidance for maintaining competitiveness in the rapidly evolving AI landscape.
November 13, 2023
Learnt a lot about GENERATIVE AI and the best practices on how to adopt with plenty of examples. I liked the way author has explained the Well-Architected framework in the Gen AI landscape which shows author's command on the subject.
Displaying 1 - 4 of 4 reviews