PacktPublishing/LLM-Engineers-Handbook
A comprehensive practical guide and accompanying codebase for building, deploying, and monitoring advanced LLM and RAG applications on AWS, emphasizing LLMOps best practices.
Core Features
Detailed Introduction
This GitHub repository serves as the official codebase for the 'LLM Engineer's Handbook', offering a practical, end-to-end guide for developing and deploying Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) applications. It covers the entire lifecycle, from data collection and LLM training to production-ready deployment on AWS, incorporating robust monitoring, testing, and LLMOps best practices. The project provides structured code examples and leverages various cloud services and tools, making it an invaluable resource for aspiring and experienced LLM engineers.