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 dataset for fine-tuning, adjusting hyperparameters such as learning rate and batch size, and implementing advanced techniques like transfer learning. Regular assessment of the model's output is essential