OPTIMIZING MAJOR MODEL PERFORMANCE

To achieve optimal results from major language models, a multifaceted approach is crucial. This involves meticulous training data selection and preparation, functionally tailoring the model to the specific task, and employing robust benchmarking metrics. Furthermore, techniques such as parameter tuning can mitigate overfitting and enhance the mode