Verified75% confidenceFactExact time
A frozen model refers to a model whose weight parameters all remain unchanged during the inference phase, with no fine-tuning, adapter training, or online learning performed.
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75%
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Long-term
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9/11/2026
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UnverifiedDuring inference, model weights are frozen, and the model is merely managing context rather than converting present experience into persistent model knowledge.79% similarUnverifiedThe combination of frozen features plus a lightweight reasoning head preserves the generalization ability of the pretrained model and avoids the cost of large-scale fine-tuning.79% similarUnverifiedThe ABACUS framework improves multi-step reasoning by composing reusable programs to freeze the judgment model's decisions, and the model parameters are not updated throughout.78% similarUnverifiedThe framework requires no labeled data or fine-tuning, because the model parameters are completely frozen, and only the prompt rules need to be adjusted to adapt to defect pattern drift caused by changes in production conditions.76% similarUnverified无状态推理（Stateless Inference）指模型权重在推理阶段保持冻结，不会因用户使用历史自动更新，这与GPT等大语言模型的推理机制本质相同75% similar
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