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Tuning (aka Model Tuning or Fine Tuning) refers to the process of re-training a pre-trained language model using custom data to adapt it to a specific domain or task. During this procedure, the model’s weights are updated to reflect the characteristics of the new data, ensuring that the model delivers more accurate outcomes and insights tailored to the particular application.