English | 2024 | EPUB, Converted PDF | 59 MB
Shikhar Kwatra, Bunny Kaushik, 1803247282, 9781804618585, 9781803247281, 978-1804618585, 978-1803247281, B0D8TTGF1C
Become
proficient in Amazon Bedrock by taking a hands-on approach to building
and scaling generative AI solutions that are robust, secure, and
compliant with ethical standards
Key Features
- Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects
- Master the core techniques to develop and deploy several AI applications at scale
- Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
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.
What you will learn
- Explore the generative AI landscape and foundation models in Amazon Bedrock
- Fine-tune generative models to improve their performance
- Explore several architecture patterns for different business use cases
- Gain insights into ethical AI practices, model governance, and risk mitigation strategies
- Enhance your skills in employing agents to develop intelligence and orchestrate tasks
- Monitor and understand metrics and Amazon Bedrock model response
- Explore various industrial use cases and architectures to solve real-world business problems using RAG
- Stay on top of architectural best practices and industry standards
Who this book is for
This
book is for generalist application engineers, solution engineers and
architects, technical managers, ML advocates, data engineers, and data
scientists looking to either innovate within their organization or solve
business use cases using generative AI. A basic understanding of AWS
APIs and core AWS services for machine learning is expected.
Table of Contents
- Exploring Amazon Bedrock
- Accessing and Utilizing Models in Amazon Bedrock
- Engineering Prompts for Effective Model Usage
- Customizing Models for Enhanced Performance
- Harnessing the Power of RAG
- Generating and Summarizing Text with Amazon Bedrock
- Building Question Answering Systems and Conversational Interfaces
- Extracting Entities and Generating Code with Amazon Bedrock
- Generating and Transforming Images Using Amazon Bedrock
- Developing Intelligent Agents with Amazon Bedrock
- Evaluating and Monitoring Models with Amazon Bedrock
- Ensuring Security and Privacy in Amazon Bedrock
