LLM Engineer's Handbook: Master the art of engineering large language models from concept to production by Paul Iusztin
**Intact Gift Giving Condition book**
This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book Description Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. 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.