其核心思想是借鉴计算机科学中的“外存算法” (Out-of-core algorithms)，不要把长 Prompt 直接喂给神经网络，而是把它放在一个外部的 Python REPL 环境里。 Prompt 被加载为环境中的变量context 。模型不再像以前那样生吞整个字符串，而是通过编写代码（如len (context) , context.split , re.search ）来按需读取数据 ...

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