Unlock: Catastrophic Forgetting

Fine-tuning a neural network on new data destroys knowledge of old data. The stability-plasticity dilemma, mitigation strategies (EWC, LwF, SI, MAS, replay, progressive networks), and implications for continual learning and LLM fine-tuning.