在自动化方面，传统计算方法的可靠性和成本效益通常优于大型语言模型（LLMs）提供的能力。LLMs引入了一定程度的不可预测性，这在自动化任务中可能是有害的。 AI
影响 表明由于固有的不可预测性，LLMs可能并非所有自动化任务的最佳解决方案。
排序理由 该条目是一篇评论文章，讨论了传统计算与LLMs在自动化方面的相对可靠性。
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传统计算在自动化方面通常比大型语言模型更可靠
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- 该条目是一篇评论文章，讨论了传统计算与LLMs在自动化方面的相对可靠性。
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在我看来，大多数自动化通过传统的（即确定性的）计算来实现更便宜、更可靠。而使用LLM，则不然
@ carnage4life In my experience most automation is cheaper and more reliable when done with traditional (i.e. deterministic) computing. With LLMs, there’s not only the rising token cost, security concerns, environmental cost, but also the fundamental problem that they do not work…