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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

Generating and Transforming Images Using Amazon Bedrock

By now, we have explored several LLMs capable of generating textual responses. This chapter explores generating images using select FMs that are available on Amazon Bedrock. We will start with an overview of image generation, wherein we will examine model architectures such as GANs and variational autoencoders (VAEs) Then, we will cover some real-world applications of image generation and multimodal models available within Amazon Bedrock. Furthermore, we will dive deeper into several multimodal design patterns, as well as some ethical considerations and safeguards that are available with Amazon Bedrock.

By the end of this chapter, you will have gained an understanding of implementing image generation and its design patterns with Amazon Bedrock for real-world use cases.

Here are the key topics that will be covered in this chapter:

  • Image generation overview
  • Multimodal models
  • Multimodal design patterns
  • Ethical...
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Programming languages
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