FINE-TUNING MAJOR MODEL PERFORMANCE

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