Building LLMs for Production

Preface

Building LLMs for Production introduces the foundational and emerging trends in natural language processing (NLP), primarily large language models (LLMs), providing insights into how these networks work and, most importantly, how to build practical systems with them. It offers a unique, hands-on, and practical approach while balancing theory and concepts. The book is for anyone who wants to build LLM products that can serve real use cases today. It explores various methods to adapt “foundational” LLMs to specific tasks with enhanced accuracy, reliability, and scalability. It tackles the lack of reliability of “out of the box” LLMs by teaching the AI developer tech stack of the future: Prompting, Fine-Tuning, RAG, and Tools Use.

We begin ...