Fine-tuning — Domain-Specializing Models with LoRA

Introduction In Chapter 5 (MLOps) , we built a CI/CD pipeline. This chapter explores a different approach: fine-tuning — training the model itself on your own data. [RAG] Question → search DB → pass results to LLM → answer → Requires documents, search costs apply [Fine-tuning] Question → Fine-tuned LLM → answer → Model carries the knowledge itself — no retrieval needed When to Use RAG vs Fine-tuning RAG Fine-tuning Best for Latest info, internal document search Specific styles, formats,…