Название: Generative AI in Action (Final Release)Автор: Amit Bahree
Издательство: Manning Publications
Год: 2024
Страниц: 466
Язык: английский
Формат: pdf (true)
Размер: 29.3 MB
Generative 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!
Generative AI has created new opportunities for organizations of all sizes. You can easily use tools like ChatGPT, Bard, and Stable Diffusion to generate text and images for product catalogs, marketing campaigns, technical reporting, and other common tasks. Coding assistants like Copilot are accelerating productivity in software teams. In this insightful book, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution.
Inside Generative AI in Action you will find:
A practical overview of of generative AI applications
Architectural patterns, integration guidance, and best practices for generative AI
The latest techniques like RAG, prompt engineering, and multi-modality
The challenges and risks of generative AI like hallucinations and jailbreaks
How to integrate generative AI into your business and IT strategy
Generative AI in Action stays away from hype and speculation, delivering experience-based advice on how to incorporate AI into your products and processes. You’ll appreciate the relevant use cases that show you how to get started right away, as well as application architectures to deploy GenAI in production at enterprise scale.
About the book:
Generative AI in Action shows you exactly how to add generative AI tools for text, images, code, and more into your organization’s strategies and projects. The book begins with the fundamentals of generative AI models and architectures, and introduces practical use-cases to create efficient processes for marketing, software development, business report generation, and other practical tasks.
You’ll quickly master best practices for prompt engineering, model fine tuning and evaluation, and explore the emerging architecture patterns that support generative AI in your enterprise workflow. Along the way, you’ll learn important facts about AI safety and ethics, and look ahead to new trends such as explainable AI, transfer learning, and reinforcement learning. With a frank discussion of risks like hallucinations and jailbreaks, Generative AI in Action gives you the insight you need to incorporate these powerful technologies with confidence.
The book teaches you how to create and use generative models for tasks and use cases. It focuses on this technology’s practical and hands-on aspects and how it works. It does not dive deep into the science, but it references the papers and scientific breakthroughs that have helped develop some of the technology—you can see these at the end of the book.
This book is designed to provide a comprehensive understanding of generative AI and its potential within an enterprise context. It explores foundational models, large language models, and related algorithms and architectures, offering readers a thorough grasp of these advanced technologies. Practical insights and examples are provided to help develop and deploy generative AI models, ensuring that readers can apply these concepts in real-world scenarios.
Advanced topics such as prompt engineering, retrieval-augmented generation, and model adaptation are discussed in detail, giving readers an in-depth understanding of these cutting-edge techniques. The book also highlights best practices for integrating generative AI into existing systems and workflows, ensuring a smooth and efficient implementation. Furthermore, it addresses the ethical considerations, governance, and safety measures necessary for responsible AI deployment, guiding readers on how to responsibly navigate the complexities of this rapidly evolving field.
About the reader:
For enterprise architects and senior developers interested in upgrading their architectures with generative AI.
About the author:
Amit Bahree 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.
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