ENHANCING MAJOR MODEL PERFORMANCE

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