FINE-TUNING MAJOR MODEL PERFORMANCE

To achieve optimal efficacy 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 utilizing advanced strategies like transfer learning. Regular evaluation of the model's output is essential to