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Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with desertcart Bedrock Review: Book to own! - One of the great books that covers so many topics around ML and AI. Don’t get fooled that it only talks about AWS services. Loved the book and its may reference book now. Review: Great book that bridges theory with practice! - Generative AI on AWS is an invaluable resource for any engineer, product manager, marketer, or business leader looking to harness the full potential of generative AI. This book demystifies the complex decisions involved in creating high-quality, scalable, and reliable generative AI products and services on the AWS cloud. My team has already greatly benefited from this book!















| Best Sellers Rank | #632,926 in Books ( See Top 100 in Books ) #63 in Cloud Computing (Books) #110 in Generative AI (Books) #263 in Natural Language Processing (Books) |
| Customer Reviews | 4.4 out of 5 stars 95 Reviews |
D**V
Book to own!
One of the great books that covers so many topics around ML and AI. Don’t get fooled that it only talks about AWS services. Loved the book and its may reference book now.
T**M
Great book that bridges theory with practice!
Generative AI on AWS is an invaluable resource for any engineer, product manager, marketer, or business leader looking to harness the full potential of generative AI. This book demystifies the complex decisions involved in creating high-quality, scalable, and reliable generative AI products and services on the AWS cloud. My team has already greatly benefited from this book!
C**N
Valuable from Novice to Expert Level of Generative AI Experience
This is an excellent book, whether one is looking to understand concepts at a high level, or details at the low level. I particularly benefited from the content pertaining to prompt engineering and the explanations of parameters affecting outcomes. Overall, the book was easy to understand and extremely well-written. Good job!
K**K
Foundation to understand AI
this content is a great approach to understand generative AI on AWS. You would enjoy this knowlege for your task definitely.
A**R
Nicely written explaining complex concept in the simplest form
It was very easy to follow the book even though there were some complex subjects. The concrete examples and code snippets help a lot for practitioner. Great job by all the authors
P**E
Good coverage with a sloppy delivery
"Generative AI on AWS" offers a broad and comprehensive overview of generative AI concepts and relevant AI tools available on the AWS platform. The book covers a wide range of topics, from foundational concepts to practical applications, making it a good starting point for anyone interested in exploring this field. However, the structure of the book feels somewhat messy, making it difficult to follow the flow of information. The organization of chapters and sections could be more cohesive to enhance the reader's understanding. Additionally, the code examples included in the book are somewhat sloppy and lack clarity, which may cause confusion for those trying to implement the solutions. Overall, while "Generative AI on AWS" provides valuable insights and a good overview of the subject, it could benefit from a more polished and structured presentation.
N**S
Excellent Guide to Generative AI
This is a comprehensive look at getting started with generative AI in AWS. Lots of practical examples. If you're wanting to get started with your generative AI journey, this is an excellent resource.
T**N
AI for Everyone!
This is exactly the book our team needed to get up to speed on the smorgasbord of AWS offerings and launch a context aware generative AI app trained on our industry data.
A**S
Aws
Good book lot of good information with lot pf good insights. 👍 lot of good information to apply at your work
F**S
Outstanding Textbook For Generative AI
This GREAT book provides good guidelines based on practical examples about using the AWS Ecosystem Toward GENERATIVE AI correctly and accordingly. Also, provide a comprehensive and extensive overview related to the state of the art of the current GAI and beyond. I recommended this book to scholars and the AI enthusiast community. Also, the Python community should be happy with this book, which proves the power of this language one more time—an excellent source for an outstanding generative AI textbook.
I**C
Pages are not glued!
I just started reading the book and it started to fall apart…
A**E
Defective book with lots of pages dangling apart
Many pages are falling apart and not properly glued together, it's a very bad experience when you pay such a high price for the book with low quality.
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