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最近，面向高吞吐、实时应用的专用小语言模型（Small Language Models，SLMs）越来越受到关注。但我们似乎遇到了一个瓶颈：我们很擅长微调这些模型，却还不太擅长长期维护它们。 部署一个 LLM，有点像管理一个 API 依赖；但如果要部署多个面向特定领域的小语言模型，那就完全是另一回事了。比如，一个模型负责去除个人身份信息（PII），一个模型负责意图识别，另一个模型负责基于结构的数据 ...