Table of Contents
- Understanding the LLM Twin Concept and Architecture
- Tooling and Installation
- Data Engineering
- RAG Feature Pipeline
- Supervised Fine-Tuning
- Fine-Tuning with Preference Alignment
- Evaluating LLMs
- Inference Optimization
- RAG Inference Pipeline
- Inference Pipeline Deployment
- MLOps and LLMOps
