LLM Engineer's Handbook: Master the art of engineering large language models from concept to production
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LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

by Paul Iusztin, Maxime Labonne

Machine Learning AI handbooks
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LLM Engineer's Handbook is a practical resource for understanding large language model engineering from concept to production. Written by Paul Iusztin and Maxime Labonne, it offers readers a focused introduction to the processes and considerations involved in building and bringing LLM systems into real-world environments.

About This Book

LLM Engineer's Handbook introduces the engineering of large language models.

The book follows the process from core concepts through production.

It is intended for readers seeking a practical perspective on building and deploying LLM-based systems.

Paul Iusztin and Maxime Labonne provide a focused resource for understanding the work involved in LLM engineering.

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I will be using this book for: