Unverified50% confidenceOpinionExact time
The difference in capability transfer lies not in the training data itself, but in the training design.
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9/15/2026
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UnverifiedDomain shift refers to the systematic difference between the distribution of training data and the distribution of data in actual deployment scenarios, and is one of the core challenges in transfer learning and AI engineering deployment78% similarUnverified参数量相似的情况下，训练数据质量分布的差异往往比架构差异更能决定特定场景的表现上限72% similarUnverifiedIn transfer learning, there are typically two strategies: freezing most layers of the pretrained model and only training the classification head (Feature Extraction), or initializing with pretrained weights and fine-tuning all layers with a smaller learning rate (Fine-Tuning).70% similar
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