FINE-TUNING MAJOR MODEL PERFORMANCE

To achieve optimal performance from major language models, a multi-faceted strategy is crucial. This involves carefully selecting the appropriate training data for fine-tuning, adjusting hyperparameters such as learning rate and batch size, and leveraging advanced techniques like transfer learning. Regular assessment of the model's performance is e