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

artificial intelligence Machine Learning engineering handbook
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Master the complete process of engineering large language models, from concept and training through deployment and production monitoring.

About This Book

This handbook provides a structured approach to engineering large language models, covering the full lifecycle from initial design to live deployment.

Readers will learn how to handle data pipelines, model training, evaluation, and monitoring within production systems.

The content focuses on real-world engineering challenges and best practices for maintaining reliable LLM applications at scale.

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I will be using this book for: