Glossary

What is Fine-tuning?

Fine-tuning trains an existing model further on your examples so it learns your tasks and vocabulary.

Definition

Fine-tuning is further training of a pre-trained model on an organisation's own examples so that it learns specific tasks, formats or vocabulary.

Fine-tuning vs retrieval

Fine-tuning teaches behaviour; retrieval supplies facts. Facts that change belong in retrieval, while repeated tasks and specialist language benefit from fine-tuning.

Ownership

When fine-tuning runs on your infrastructure, the resulting weights can belong to you.

See RAG vs fine-tuning.

Start with two weeks of evidence, not a sales call.

A fixed-price discovery sprint, credited against whatever comes next. Or write to sales@deepvox.ai.

Book a discovery sprint