Unverified50% confidenceTradeoffExact time
微调适合让模型学习特定输出风格或领域语气，但对频繁更新的企业知识每次变更都重新微调成本极高
1
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50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
Unverified模型微调能将知识永久写入模型权重，但需要大量标注数据、算力成本高、迭代周期长75% similarUnverifiedParameterized policy updates directly modify model weights (e.g., online updating of LoRA fine-tuning layers), offering a higher capability ceiling but introducing the risk of catastrophic forgetting; non-parameterized approaches change behavior by modifying prompts, retrieved content, or tool configurations, offering strong reversibility but limited expressiveness.75% similarUnverified模型升级往往伴随接口调整、提示词行为变化等适配成本，迁移新版本时需做充分测试与评估74% similar
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