Generative AI in Action (Final Release)

Generative AI in Action 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.

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.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

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.