The LLM Engineer’s Handbook is a comprehensive, step-by-step guide to building, fine-tuning, and deploying large language models at scale. Covering data pipelines, supervised fine-tuning, preference alignment, retrieval-augmented generation (RAG), inference optimization, and LLMOps, this book provides everything you need to design production-ready systems

LLM Engineers Handbook

. Written by top AI engineers, it blends theory with hands-on practices and cloud deployment strategies, making it an indispensable resource for anyone aiming to become a true LLM engineer in today’s AI-driven landscape.