📄 中文摘要
当生产模型发生漂移且无法重训练时，自愈神经网络提供了一种解决方案。该技术通过轻量级适配器实时检测模型漂移，并进行适应性调整，从而在不需要重训练或停机的情况下恢复27.8%的准确率。这种方法为应对动态变化的环境提供了有效的手段，确保模型在实际应用中的稳定性和可靠性。
自愈神经网络：在不重训练的情况下实时修复模型漂移
📄 English Summary
Self-Healing Neural Networks in PyTorch: Fix Model Drift in Real Time Without Retraining
Self-healing neural networks offer a solution when production models drift and retraining is not feasible. This technology detects model drift in real time using a lightweight adapter and adapts accordingly, achieving a recovery of 27.8% accuracy without the need for retraining or downtime. This approach provides an effective means to address dynamic changes in environments, ensuring the stability and reliability of models in practical applications.