FINE-TUNING MAJOR MODEL PERFORMANCE

To achieve optimal results from major language models, a multifaceted approach is crucial. This involves meticulous dataset selection and preparation, structurally tailoring the model to the specific task, and employing robust evaluation metrics. Furthermore, strategies such as regularization can mitigate generalization errors and enhance the mode