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

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781803247281

Length 384 pages

Edition 1st Edition

Tools

AWS

Concepts

Artificial Intelligence

Authors (2):

Shikhar Kwatra

Bunny Kaushik

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Table of Contents (18) Chapters

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

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Technical requirements

This chapter requires you to have access to an AWS account. If you don’t have one already, you can go to https://aws.amazon.com/getting-started/ and create an AWS account.

Secondly, you will need to install and configure the AWS CLI from https://aws.amazon.com/cli/ after you create an account, which will be needed to access Amazon Bedrock FMs from your local machine. Since the majority of the code cells we will be executing are based on Python, setting up an AWS Python SDK (Boto3) at https://docs.aws.amazon.com/bedrock/latest/APIReference/welcome.html would be beneficial at this point. You can carry out the Python setup in the following manner: install it on your local machine, use AWS Cloud9 or AWS Lambda, or leverage Amazon SageMaker.

Note

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

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Table of Contents (18) Chapters