Individual skill
regex-vs-llm-structured-text
选择在解析结构化文本时使用正则表达式还是大型语言模型的决策框架——从正则表达式开始，仅在低置信度的边缘情况下添加大型语言模型。
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- ai-agents Repository topic
- anthropic Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- llm Repository topic
- mcp Repository topic
- productivity Repository topic
- engineering Derived category
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# 正则表达式 vs LLM 用于结构化文本解析
一个用于解析结构化文本（测验、表单、发票、文档）的实用决策框架。核心见解是：正则表达式能以低成本、确定性的方式处理 95-98% 的情况。将昂贵的 LLM 调用留给剩余的边缘情况。
## 何时使用
* 解析具有重复模式的结构化文本（问题、表单、表格）
* 决定在文本提取时使用正则表达式还是 LLM
* 构建结合两种方法的混合管道
* 在文本处理中优化成本/准确性权衡
## 决策框架
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