Generative AI in Action (1 ed)

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 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.

Inside Generative AI in Action, you will find:

• A practical overview 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 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 an enterprise scale.

Table of Contents

Part 1
1 Introduction to generative AI
2. Introduction to large language models
3 Working through an API: Generating text
4 From pixels to pictures: Generating images
5. What else can AI generate?
Part 2
6. Guide to prompt engineering
7. Retrieval-augmented generation: The secret weapon
8 Chatting with your data
9. Tailoring models with model adaptation and fine-tuning
Part 3
10 Application architectures for generative AI apps
11 Scaling up: Best practices for production deployment
12 Evaluations and benchmarks
13 Guide to ethical GenAI: Principles, practices, and pitfalls
A. The book’s GitHub repository
B. Responsible AI tools