FINE-TUNING MAJOR MODEL PERFORMANCE

To achieve optimal effectiveness from major language models, a multi-faceted strategy is crucial. This involves thoroughly selecting the appropriate corpus for fine-tuning, tuning hyperparameters such as learning rate and batch size, and utilizing advanced methods like prompt engineering. Regular monitoring of the model's capabilities is essential