Glossary
Fine-Tuning
Definition
Fine-tuning is further training a base AI model on your own domain data so it performs better on your specific tasks, tone, and terminology.
Last updated
Key points
- Changes how the model behaves; RAG changes what it knows. They're often combined.
- A small model fine-tuned for your domain can outperform a large general one.
- Builds a proprietary asset competitors can't easily replicate.
Quick answer
Fine-Tuning, common question
If your need is current, citable knowledge, RAG is usually enough. If you need consistent domain behavior, format, or specialized performance, fine-tuning helps, and the two work well together.
From concept to working product.
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