Unverified60% confidenceFactExact time
Fine-tuning to update knowledge is costly and time-consuming, and once knowledge is written into the parameters, updating it requires retraining.
2
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60%
Confidence
Long-term
Relevance
10/28/2026
First Seen
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Related Claims
UnverifiedUpdating parametric memory requires fine-tuning or continual pre-training, both of which require additional training processes and computational resources.77% similarUnverifiedModifying a rules table is immediate, versionable, and rollback-capable, whereas model retraining is costly, time-consuming, and produces results that are difficult to predict.74% similarUnverifiedContinual training is a method of continuously training on newly added data to keep the model's knowledge up to date.73% similarUnverifiedCPT和SFT把知识烧进模型权重，对于频繁更新的文档场景每次改动都需重新训练，成本极高73% similarUnverified智能体的偏好受训练数据、提示词、版本迭代等多重因素影响，今天有效的优化手段可能在下一次模型更新后失效72% similar
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