FINE-TUNING MAJOR MODEL PERFORMANCE

Fine-tuning Major Model Performance

To achieve optimal effectiveness from major language models, a multi-faceted methodology is crucial. This involves carefully 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 capabilities is

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