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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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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

What is Amazon Bedrock?

Amazon Bedrock is a fully managed service that offers various choices of high-performing FMs via a single API. Fully managed implies that users do not have to worry about creating, deploying, and operating the backend infrastructure as it has been taken care of by Amazon. So, from within your application or code, you can invoke the model on Bedrock with a single API containing your prompt. One of the key advantages of Amazon Bedrock is it provides a wide choice of leading FMs from Amazon and top AI companies such as Anthropic, AI21 Labs, Cohere, Meta, Stability AI, and Mistral.

Once you’ve defined your use case, the next step is to choose an FM. Amazon Bedrock provides a playground experience (a web interface for rapid experimentation) where you can experiment with different models and prompts. Additionally, there are certain techniques and suitability criteria you need to employ to choose the best-fit model for your use case. We will learn how to...

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