To achieve optimal performance from major language models, a multi-faceted approach is crucial. This involves meticulously selecting the appropriate corpus for fine-tuning, adjusting hyperparameters such as learning rate and batch size, and utilizing advanced methods like model distillation. Regular evaluation of the model's performance is essentia