How to Fine-Tune LLMs for Your Business: Practical Guide

When to Fine-Tune vs Prompting

Fine-tuning isn't always the answer. For most cases, prompt engineering or RAG suffices.

The Process

1. Collect 500-10,000 high-quality examples
2. Split into training (90%) and validation (10%)
3. Choose a base model
4. Run fine-tuning
5. Evaluate on test set
6. Deploy and monitor