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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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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Amazon Bedrock Foundations
2. Chapter 1: Exploring Amazon Bedrock FREE CHAPTER 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

Developing Intelligent Agents with Amazon Bedrock

In this chapter, readers will explore the concept of agents in generative artificial intelligence (GenAI), diving into their importance, benefits, and the various tools and types available.

Readers will learn to build knowledge bases and develop agents specifically designed for Amazon Bedrock, gaining insights into configurations, testing, and deployment strategies. Additionally, the chapter will showcase real-world industrial use cases, highlighting the practical applications of Agents in conjunction with Amazon Bedrock.

Through hands-on examples, readers will acquire the skills to describe the role of agents, integrate LangChain Agents with Amazon Bedrock, understand Agents’ configurations for Amazon Bedrock, and build, test, and deploy agents tailored to this service. Furthermore, they will explore diverse industrial use cases, demonstrating the versatility and potential of Agents in enhancing the capabilities of Amazon...

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