LLM Engineer's Handbook

Table of Contents

1. Understanding the LLM Twin Concept and Architecture
2. Tooling and Installation
3. Data Engineering
4. RAG Feature Pipeline
5. Supervised Fine-Tuning
6. Fine-Tuning with Preference Alignment
7. Evaluating LLMs
8. Inference Optimization
9. RAG Inference Pipeline
10. Inference Pipeline Deployment
11. MLOps and LLMOps