From Base Models to Deployable LLMs: A Complete Fine-Tuning Playbook

The Problem

Most organizations experimenting with large language models hit the same wall: base models don't follow domain tone, policy, or structure. RAG alone doesn't fix behavior—JSON schemas, refusals, and style remain inconsistent. Full fine-tuning is too expensive, and even good models fail if latency and VRAM costs aren't considered.