Requirements: .ePUB reader, 21 mb
Overview: 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.
Genre: Non-Fiction > Tech & Devices
• 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
Download Instructions:
https://rapidgator.net/file/2dea29b2245 … .epub.html
https://ouo.io/69qA6BT
Code:
https://ouo.io/liLOsh
https://ouo.io/Ui3T6e.
