Unverified50% confidenceFactExact time
业界当前主要的产品化路径是冻结权重加上下文工程，即"预训练一次、之后冻结"范式
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/20/2026
First Seen
Valid until: 11/18/2026
Sources
Related Claims
UnverifiedCurrent large models are essentially static—once training is complete, the weights are frozen and knowledge remains at the training cutoff date.69% similarUnverifiedThe choice between frozen embeddings and fine-tuning depends on the amount of labeled data, the computational budget, and the degree of distributional divergence between the target task and the pre-training task.67% similarUnverifiedAfter large models entered the post-pretraining era, the capability gains from simply stacking parameters have become increasingly diminishing, and vendors have turned to the post-training phase in search of breakthroughs.63% similarUnverified梁文锋认为持续学习是AI替代员工的关键跨越，当前大模型受限于训练后参数冻结的静态权重61% similar
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