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使用BERT量级的模型配合良好工程设计，推理延迟可控制在毫秒级，部署成本仅为大模型的百分之一

1

Sources

50%

Confidence

Long-term

Relevance

7/14/2026

First Seen

Sources

AI应用开发工程师能力结构全拆解：四大核心模块与学习路线

Related Claims

Unverified轻量小模型的推理延迟可低至5-20ms，单次推理成本不足大模型的1%，且可本地部署78% similar Unverified把合适的任务交给合适的模型，盲目使用顶配模型既慢又费额度74% similar Unverified模型路由在精度上更优，但引入了额外的推理延迟与维护成本73% similar Unverified多模型并行调用可使总延迟等于最慢模型的响应时间而非三者之和，但成本仍为三倍API费用72% similar Unverified成本优化策略包括使用轻量级模型承担低决策复杂度子任务、压缩Agent间消息、设置最大迭代轮次上限69% similar

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