Catastrophic Forgetting

Catastrophic Forgetting occurs when a neural network fine-tuned on specialized downstream data experiences severe performance regression or complete loss of previously acquired general knowledge, reasoning, or coding capabilities. In agent engineering, it is mitigated via data replay, parameter-efficient adaptation, and strict regression evaluation benchmarks.