Fine-Tuning
[/faɪn ˈtjuːnɪŋ/]
Definitions
機械支援の翻訳下書き (Japanese) for "Fine-Tuning": The process of further training a pre-trained model on a smaller, task-specific dataset to adapt its behavior for a particular domain or style. Fine-tuning updates the model's weights to make it perform better on specific tasks without training from scratch.
“例文の下書き: We fine-tuned the base model on our legal contracts corpus so it could draft clauses in the right style.”
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