LLMs in Enterprise: Design strategies for large language model development, design patterns and best practices

Welcome to Packt Early Access. We’re giving you an exclusive preview of this book before it goes on sale. It can take many months to write a book, but our authors have cutting-edge information to share with you today. Early Access gives you an insight into the latest developments by making chapter drafts available. The chapters may be a little rough around the edges right now, but our authors will update them over time.

You can dip in and out of this book or follow along from start to finish; Early Access is designed to be flexible. We hope you enjoy getting to know more about the process of writing a Packt book.

1. Chapter 1: Introduction to Large Language Models (LLMs)
2. Chapter 2: LLMs in Enterprise: Applications, Challenges, and Design Patterns
3. Chapter 3: Data and Training in Foundation Models
4. Chapter 4: Fine-Tuning and Retrieval-Augmented Generation (RAG) Patterns
5. Chapter 5: Customizing Contextual LLMs Patterns
6. Chapter 6: Evaluation Patterns
7. Chapter 7: Data Strategy for LLMs
8. Chapter 8: Model Deployment
9. Chapter 9: Accelerated and Optimized Inferencing Patterns
10. Chapter 10: LLMs in Production
11. Chapter 11: RAG 2.0: Beyond Mainstream RAG
12. Chapter 12: Connected LLMs Pattern
13. Chapter 13: Responsible AI in LLMs
14. Chapter 14: Emerging Trends and Multimodality