Fine-tuning

fyn-TOO-ning /ˈfaɪn ˌtjuːnɪŋ/

Adapting a pre-trained model to perform better on a specific task or domain. For example, a general language model can be fine-tuned on heritage descriptions to write in a consistent style. Fine-tuning can improve relevance, but it can also amplify problems in the new training data if not managed carefully.