FINE-TUNING MAJOR MODEL PERFORMANCE

To achieve optimal efficacy from major language models, a multi-faceted methodology is crucial. This involves carefully selecting the appropriate corpus for fine-tuning, parameterizing hyperparameters such as learning rate and batch size, and implementing advanced techniques like prompt engineering. Regular evaluation of the model's capabilities is