Generative AI in Action
Год издания: 2024
Автор: Bahree A.
Издательство: Manning
ISBN: 978-1633436947
Язык: Английский
Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 446
Описание: 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
Примеры страниц (скриншоты)
Оглавление
PART 1 FOUNDATIONS OF GENERATIVE AI 1
1. Introduction to generative AI 3
2. Introduction to large language models 26
3. Working through an API: Generating text 57
4. From pixels to pictures: Generating images 96
5. What else can AI generate? 127
PART 2 ADVANCED TECHNIQUES AND APPLICATIONS 153
6. Guide to prompt engineering 155
7. Retrieval-augmented generation: The secret weapon 183
8. Chatting with your data 213
9. Tailoring models with model adaptation and fine-tuning 242
PART 3 DEPLOYMENT AND ETHICAL CONSIDERATIONS 281
10. Application architecture for generative AI apps 283
11. Scaling up: Best practices for production deployment 321
12. Evaluations and benchmarks 357
13. Guide to ethical GenAI: Principles, practices, and pitfalls 384
