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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

Technical requirements

For this chapter, you’ll need to have access to an Amazon Web Services (AWS) account. If you don’t have one already, you can go to https://aws.amazon.com/getting-started/ and create one.

Once you’ve done this, you’ll need to install and configure the AWS CLI (https://aws.amazon.com/cli/) as you’ll need this to access Amazon Bedrock FMs from your local machine. Since the majority of the code blocks that we will execute are based on Python, setting up an AWS Python SDK (Boto3) (https://docs.aws.amazon.com/bedrock/latest/APIReference/welcome.html) would be beneficial. You can set up Python by installing it on your local machine, or using AWS Cloud9, or utilizing AWS Lambda, or leveraging Amazon SageMaker.

Note

There will be a charge associated with invocating and customizing the FMs of Amazon Bedrock. Please refer to https://aws.amazon.com/bedrock/pricing/ to learn more.

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