02172nam a22002537a 4500 20261003112635.0 261003b |||||||| |||| 00| 0 eng d 9781836200079 Technical Bureau India Pvt. Ltd. 4794/23, 1st Floor, Ansari Road, Daryaganj, New Delhi TB2198 006.35 LIS Iusztin, Paul. ; Labonne, Maxime. ; Chaumond, Julien. LLM Engineer's Handbook : Master the art of engineering large language models from concept to production. / Paul Iusztin. , Birmingham : Packet Publishing House , 2024. xxvi, 490p. : 24cm. 4499 Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that's cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively. Artificial intelligence Large Language Models LLMs Paul Iusztin. BOOK 70822 70822 0 0 ddc 0 1 SNUL SNUL 2026-10-03 Technical Bureau India Pvt. Ltd. 4499.00 0 006.35 LIS 31797 2026-10-03 11:26:50 2026-10-03 BOOK