Educational Resource & LLM Development Framework
4.9k 2026-04-27
PacktPublishing/LLM-Engineers-Handbook
A comprehensive practical guide and accompanying code repository for LLM engineers, covering the full lifecycle of building, deploying, and monitoring advanced LLM and RAG applications on AWS with LLMOps best practices.
Core Features
End-to-end LLM and RAG system development
Production-ready deployment to AWS
Comprehensive monitoring and testing frameworks
LLM training pipeline and data management
Integration with MLOps tools like ZenML and Comet ML
Detailed Introduction
The LLM Engineer's Handbook is the official code repository for a practical guide designed to equip engineers with the skills to build robust, production-grade LLM-based systems. It covers the entire development lifecycle, from data collection and LLM training to implementing RAG systems, deploying to AWS, and establishing comprehensive monitoring and testing. Emphasizing LLMOps best practices, this resource provides hands-on code examples and architectural guidance for creating scalable and maintainable AI applications.