To achieve optimal performance from major language models, a multi-faceted methodology is crucial. This involves thoroughly selecting the appropriate dataset for fine-tuning, parameterizing hyperparameters such as learning rate and batch size, and utilizing advanced techniques like model distillation. Regular evaluation of the model's capabilities