[模型微调]: 模型微调是指在已有预训练模型的基础上，使用特定数据集对模型进行进一步训练，以提升模型在特定任务上的表现。这种方法广泛应用于自然语言处理、图像识别等领域。
[Model Fine-tuning]: Model fine-tuning refers to the process of further training an existing pre-trained model using a specific dataset to improve the model's performance on a particular task. This method is widely used in fields such as natural language processing and image recognition.