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Glossary
Fine-tuning
Fine-tuning continues the training of an existing model on a smaller set of your own examples. It changes how the model behaves, for example its style, format or handling of a narrow task. It does not replace good prompts or retrieval, and it needs a test set to show whether the change helped.
Definitions are general and kept short on purpose. Check the vendor documentation or the regulation for the details of your case.
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