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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

Summary

Before moving on to the next chapter, let’s quickly recap what we covered in this chapter. First, we looked at how to access Amazon Bedrock through the AWS console. Utilizing the Bedrock console, we queried the Text, Chat, and Image playground APIs and experimented with various inference parameters to analyze their impact on model outputs. In addition to interacting with the models through the Bedrock console, we investigated accessing the FMs via the AWS CLI and AWS SDK.

By leveraging the CLI and SDK, we were able to uncover some of the underlying Bedrock APIs that can be used to list available FMs, retrieve detailed information about them, and invoke them. We concluded this chapter by looking at some integration points of Amazon Bedrock, including the popular LangChain framework, and provided a brief overview of PartyRock, a powerful playground in Amazon Bedrock for testing prompts and building fun applications.

Now that we have a good conceptual understanding...

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