FINE-TUNING MAJOR MODEL PERFORMANCE

To achieve optimal efficacy from major language models, a multi-faceted methodology is crucial. This involves meticulously selecting the appropriate dataset for fine-tuning, parameterizing hyperparameters such as learning rate and batch size, and implementing advanced methods like model distillation. Regular assessment of the model's performance is