Unverified50% confidenceOpinionExact time
Decoupling memory consolidation from the training process means knowledge maintenance can be completed without significantly increasing inference-stage overhead.
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10/28/2026
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UnverifiedCognitive load theory indicates that reducing extraneous cognitive burden allows learners to allocate more working memory resources toward skill acquisition.77% similarUnverifiedMethods such as freezing LLM backbone parameters during the visual alignment training phase, staged training, data ratio replay, and LoRA can mitigate catastrophic forgetting in multimodal training.76% similarUnverifiedRepeatedly practicing the same concept in different ways helps knowledge settle from short-term memory into a callable skill.75% similarUnverifiedUpdating parametric memory requires fine-tuning or continual pre-training, both of which require additional training processes and computational resources.75% similarUnverifiedIntermediate data such as checkpoints and logs generated by training can usually be cleaned up after training ends, whereas data generated by inference is directly tied to business operating state, and deleting it often means losing traceability and user experience74% similar
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