foreword
Unless you’ve been hiding in a cave, you know that LLMs are everywhere. They’re becoming a staple for many people. If you’re reading this book, there’s a good chance you’ve integrated LLMs into your workflow. But you might be wondering how to deploy LLMs in production.
This is precisely why LLMs in Production is a timely and invaluable book. Drawing from their extensive experience and deep expertise in machine learning and linguistics, the authors offer a comprehensive guide to navigating the complexities of bringing LLMs into production environments. They don’t just explore the technical aspects of implementation; they delve into the strategic considerations, ethical implications, and best practices crucial for responsible and effective production deployments of LLMs.
LLMs in Production has it all. Starting with an overview of what LLMs are, the book dives deep into language modeling, MLOps for LLMs, prompt engineering, and every relevant topic in between. You’ll come away with a bottoms-up approach to working with LLMs from first principles. This book will stand the test of time, at least as long as possible, in this fast-changing landscape.
You should approach this book with an open mind and a critical eye. The future of LLMs is not predetermined—it will be shaped by the decisions we make and the care with which we implement these powerful tools in production. Let this book guide you as you navigate the exciting, challenging world of LLMs in production.