{"product_id":"generative-ai-in-action-9781633436947","title":"Generative AI in Action","description":"\u003cb\u003eGenerative AI can transform your business by streamlining the process of creating text, images, and code. This book will show you how to get in on the action!\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003ci\u003eGenerative AI in Action\u003c\/i\u003e is the comprehensive and concrete guide to generative AI you've been searching for. It introduces both AI's fundamental principles and its practical applications in an enterprise context--from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution. \u003cp\u003e\u003c\/p\u003eInside \u003ci\u003eGenerative AI in Action\u003c\/i\u003e you will find: \u003cp\u003e\u003c\/p\u003e- A practical overview of of generative AI applications\u003cbr\u003e - Architectural patterns, integration guidance, and best practices for generative AI\u003cbr\u003e - The latest techniques like RAG, prompt engineering, and multi-modality\u003cbr\u003e - The challenges and risks of generative AI like hallucinations and jailbreaks\u003cbr\u003e - How to integrate generative AI into your business and IT strategy \u003cp\u003e\u003c\/p\u003e \u003ci\u003eGenerative AI in Action\u003c\/i\u003e is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You'll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading! \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eGenerative AI in Action\u003c\/i\u003e presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you'll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You'll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e- Best practices for deploying Generative AI apps\u003cbr\u003e - Production-quality RAG\u003cbr\u003e - Adapting GenAI models to your specific domain \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAmit Bahree\u003c\/b\u003e is Principal Group Product Manager for the Azure AI engineering team at Microsoft. \u003cp\u003e\u003c\/p\u003eThe technical editor on this book was \u003cb\u003eWee Hyong Tok\u003c\/b\u003e. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Part 1\u003cbr\u003e 1 Introduction to generative AI\u003cbr\u003e 2 Introduction to large language models\u003cbr\u003e 3 Working through an API: Generating text\u003cbr\u003e 4 From pixels to pictures: Generating images\u003cbr\u003e 5 What else can AI generate?\u003cbr\u003e Part 2\u003cbr\u003e 6 Guide to prompt engineering\u003cbr\u003e 7 Retrieval-augmented generation: The secret weapon\u003cbr\u003e 8 Chatting with your data\u003cbr\u003e 9 Tailoring models with model adaptation and fine-tuning\u003cbr\u003e Part 3\u003cbr\u003e 10 Application architecture for generative AI apps\u003cbr\u003e 11 Scaling up: Best practices for production deployment\u003cbr\u003e 12 Evaluations and benchmarks\u003cbr\u003e 13 Guide to ethical GenAI: Principles, practices, and pitfalls\u003cbr\u003e A The book's GitHub repository\u003cbr\u003e B Responsible AI tools\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eAmit Bahree\u003c\/b\u003e is a Principal Group TPM at Microsoft, where he is part of the engineering team building the next generation of AI products and services for millions of customers using the Azure AI platform. He is also responsible for custom engineering across the platform with key customers, solving complex enterprise scenarios using all forms of AI, including generative AI.\u003cbr\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":50899266011410,"sku":"9781633436947","price":55.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_49c32055-818e-4f02-92c3-cb9f84d1d87c.jpg?v=1738349727","url":"https:\/\/surprise-castle.myshopify.com\/products\/generative-ai-in-action-9781633436947","provider":"Surprise Castle","version":"1.0","type":"link"}