Unverified50% confidenceFactExact time
A frozen agent refers to an agent whose weights are no longer updated during the inference phase and that relies entirely on capabilities acquired through pre-training or post-training.
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9/17/2026
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UnverifiedCurrent large models are essentially static—once training is complete, the weights are frozen and knowledge remains at the training cutoff date.74% 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.73% similarUnverifiedAs the scale of pretrained models increases, many previously effective explicit knowledge injection techniques have gradually become ineffective or even produced negative effects.73% similarUnverifiedGrokking refers to the phenomenon where, after a model has already achieved near-perfect fit on the training set, test set performance remains at a random level for a long time before generalization ability suddenly improves after a large number of additional training steps.72% similar
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