ENHANCING MAJOR MODEL PERFORMANCE

To achieve optimal effectiveness from major language models, a multi-faceted approach is crucial. This involves thoroughly selecting the appropriate training data for fine-tuning, parameterizing hyperparameters such as learning rate and batch size, and implementing advanced methods like model distillation. Regular evaluation of the model's output i