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Generative AI with Amazon Bedrock

You're reading from   Generative AI with Amazon Bedrock Build, scale, and secure generative AI applications using Amazon Bedrock

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781803247281
Length 384 pages
Edition 1st Edition
Tools
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Authors (2):
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Shikhar Kwatra Shikhar Kwatra
Author Profile Icon Shikhar Kwatra
Shikhar Kwatra
Bunny Kaushik Bunny Kaushik
Author Profile Icon Bunny Kaushik
Bunny Kaushik
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Amazon Bedrock Foundations FREE CHAPTER
2. Chapter 1: Exploring Amazon Bedrock 3. Chapter 2: Accessing and Utilizing Models in Amazon Bedrock 4. Chapter 3: Engineering Prompts for Effective Model Usage 5. Chapter 4: Customizing Models for Enhanced Performance 6. Chapter 5: Harnessing the Power of RAG 7. Part 2: Amazon Bedrock Architecture Patterns
8. Chapter 6: Generating and Summarizing Text with Amazon Bedrock 9. Chapter 7: Building Question Answering Systems and Conversational Interfaces 10. Chapter 8: Extracting Entities and Generating Code with Amazon Bedrock 11. Chapter 9: Generating and Transforming Images Using Amazon Bedrock 12. Chapter 10: Developing Intelligent Agents with Amazon Bedrock 13. Part 3: Model Management and Security Considerations
14. Chapter 11: Evaluating and Monitoring Models with Amazon Bedrock 15. Chapter 12: Ensuring Security and Privacy in Amazon Bedrock 16. Index 17. Other Books You May Enjoy

Preface

Generative AI has been on everyone’s mind since the release of ChatGPT. People across the globe are amazed by its potential and industries are looking to innovate and solve business problems using Generative AI.

In April 2023, Amazon officially announced its new Generative AI service called Amazon Bedrock, which simplifies the building and scaling of Generative AI applications without managing the infrastructure.

This book takes you on a journey of Generative AI with Amazon Bedrock and empowers you to accelerate the development and integration of several Generative AI use cases in a seamless manner. You will explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The latter part of the book covers how to effectively monitor and ensure security and privacy in Amazon Bedrock. The book is put together in a way that starts from intermediate to advanced topics, and every effort has been put into it to make it easy to follow with practical examples.

By the end of this book, you will have a great understanding of building and scaling Generative AI applications with Amazon Bedrock and will understand several architecture patterns and security best practices that will help you solve several business problems and be able to innovate in your organization.

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