FINE-TUNING MAJOR MODEL PERFORMANCE

To achieve optimal efficacy from major language models, a multi-faceted approach is crucial. This involves carefully selecting the appropriate dataset for fine-tuning, tuning hyperparameters such as learning rate and batch size, and leveraging advanced techniques like prompt engineering. Regular evaluation of the model's output is essential to pinp