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  • Book Overview & Buying Generative AI with Amazon Bedrock
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Generative AI with Amazon Bedrock

Generative AI with Amazon Bedrock

By : Shikhar Kwatra, Bunny Kaushik
4.4 (7)
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Generative AI with Amazon Bedrock

Generative AI with Amazon Bedrock

4.4 (7)
By: Shikhar Kwatra, Bunny Kaushik

Overview of this book

The concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You’ll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you’ll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.
Table of Contents (18 chapters)
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1
Part 1: Amazon Bedrock Foundations
7
Part 2: Amazon Bedrock Architecture Patterns
13
Part 3: Model Management and Security Considerations

Developing Intelligent Agents with Amazon Bedrock

In this chapter, readers will explore the concept of agents in generative artificial intelligence (GenAI), diving into their importance, benefits, and the various tools and types available.

Readers will learn to build knowledge bases and develop agents specifically designed for Amazon Bedrock, gaining insights into configurations, testing, and deployment strategies. Additionally, the chapter will showcase real-world industrial use cases, highlighting the practical applications of Agents in conjunction with Amazon Bedrock.

Through hands-on examples, readers will acquire the skills to describe the role of agents, integrate LangChain Agents with Amazon Bedrock, understand Agents’ configurations for Amazon Bedrock, and build, test, and deploy agents tailored to this service. Furthermore, they will explore diverse industrial use cases, demonstrating the versatility and potential of Agents in enhancing the capabilities of Amazon...

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