Borrow Generative Ai On Aws Building Context Aware Multimodal Reasoning Applications
Download Borrow Generative Ai On Aws Building Context Aware Multimodal Reasoning Applications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Borrow Generative Ai On Aws Building Context Aware Multimodal Reasoning Applications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
GenAI on AWS
Author: Olivier Bergeret
language: en
Publisher: John Wiley & Sons
Release Date: 2025-03-19
The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.
Serverless Agentic Workflows with Amazon Bedrock
Author: BRIAN. PITMAN
language: en
Publisher: Independently Published
Release Date: 2025-02-19
Serverless Agentic Workflows with Amazon Bedrock: Mastering Agentic AI for Building Self-Directed, Scalable Systems with Integrated Tools, Code Execution, and Responsible Guardrails is your definitive guide to the next generation of intelligent systems. This book unites the power of Amazon Bedrock generative AI and cutting-edge serverless architectures to create context-aware, multimodal applications that are designed to work autonomously in real-world environments. Inside, you will explore how to master generative AI applications, build self-directed AI systems, and design modern agentic architectures that leverage Retrieval-Augmented Generation (RAG) for dynamic, intelligent decision-making. From practical, step-by-step instructions in Python to deep dives into cognitive frameworks for agentic AI, this book offers comprehensive insights into building multi-agent systems that are not only scalable and efficient but also ethically responsible. Learn to integrate external tools, connect seamlessly with CRMs and support repositories, and orchestrate multiple agent actions to create truly autonomous AI systems. Whether you are focused on building innovative, context-aware applications on AWS, mastering agentic RAG architectures, or preparing for the artificial intelligence revolution, this book provides the practical, hands-on approach you need. Designed for engineers, architects, and business leaders, this practical guide to innovation in AI equips you with the skills to future-proof your organization. By blending detailed code illustrations with robust architectural insights, it shows you how to create intelligent systems that meet real-world demands while adhering to best practices for responsible deployment. Transform your approach to AI with a resource that is as forward-thinking as it is practical. Embrace the future of autonomous, agentic AI systems and revolutionize your organization with strategies that drive efficiency, innovation, and lasting success.
Natural Language Processing with AWS AI Services
Work through interesting real-life business use cases to uncover valuable insights from unstructured text using AWS AI services Key FeaturesGet to grips with AWS AI services for NLP and find out how to use them to gain strategic insightsRun Python code to use Amazon Textract and Amazon Comprehend to accelerate business outcomesUnderstand how you can integrate human-in-the-loop for custom NLP use cases with Amazon A2IBook Description Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production. To start with, you'll understand the importance of NLP in today's business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic. Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications. What you will learnAutomate various NLP workflows on AWS to accelerate business outcomesUse Amazon Textract for text, tables, and handwriting recognition from images and PDF filesGain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon ComprehendSet up end-to-end document processing pipelines to understand the role of humans in the loopDevelop NLP-based intelligent search solutions with just a few lines of codeCreate both real-time and batch document processing pipelines using PythonWho this book is for If you're an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code. A basic understanding of machine learning (ML) concepts is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful.