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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 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

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 AWS CLI (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 chunk of code cells we will be executing is based in Python, setting up an AWS Python SDK (Boto3) (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, or use AWS Cloud9, or utilize 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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