LoRA fine-tuning: when is it worth it?

LoRA is often the fastest way to get domain-specific quality gains - but not in every project.

LoRA is especially useful when

• your output style must stay consistent
• you have recurring domain-specific terminology
• prompting alone is not stable enough

LoRA is less useful when

• requirements change every week
• training data is limited
• a solid RAG setup already solves the problem

Combine LoRA and RAG when you need both stylistic consistency and up-to-date knowledge.