OPTIMIZING MAJOR MODEL PERFORMANCE

To achieve optimal performance from major language models, a multi-faceted approach is crucial. This involves meticulously selecting the appropriate training data 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 essen