OPTIMIZING MAJOR MODEL PERFORMANCE

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