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#catastrophic-forgetting

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01 ·Training & Alignment·★ MEMBER·PAPER·9 min read Continual Learning and Catastrophic Forgetting — Why Models Can't Just Keep Learning Why a model that learns something new tends to lose what it already knew, explained from a single fact: weights are a shared resource. Walks through EWC, replay, and swappable LoRA adapters with equations and interactive figures, then explains why production teams still just mix the old data back in and retrain.