LLM Engineer’s Handbook

eBook Details:

• Paperback: 522 pages
• Publisher: WOW! eBook (October 22, 2024)
• Language: English
• ISBN-10: 1836200072
• ISBN-13: 978-1836200079

eBook Description:

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production. Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices.

This LLM Engineer’s Handbook book provides practical 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.

• Implement robust data pipelines and manage LLM training cycles
• Create your own LLM and refine with the help of hands-on examples
• Get started with LLMOps by diving into core MLOps principles like IaC
• Perform supervised fine-tuning and LLM evaluation
• Deploy end-to-end LLM solutions using AWS and other tools
• Explore continuous training, monitoring, and logic automation
• Learn about RAG ingestion as well as inference and feature pipelines

Throughout this LLM Engineer’s Handbook 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.