用大模型做自然语言终端，设计了防错恢复机制。
NaSh: Guardrails for an LLM-Powered Natural Language Shell
- 让大模型处理自然语言指令，自动纠错与恢复
- 提出新终端NaSh，支持用户从错误中快速恢复
- 适合想用大模型交互的开发者和研究人员
我们探讨了基于大语言模型（LLM）的自然语言终端应如何不同于现有终端。由于LLM可能产生意外或难以解释的输出，我们认为自然语言终端应提供保护机制，帮助用户从错误中恢复。为此，我们设计了名为NaSh的新终端，提出具体实现思路，识别该领域尚未解决的问题，并讨论未来研究方向。
原文摘要 · Abstract (English)
We explore how a shell that uses an LLM to accept natural language input might be designed differently from the shells of today. As LLMs may produce unintended or unexplainable outputs, we argue that a natural language shell should provide guardrails that empower users to recover from such errors. We concretize some ideas for doing so by designing a new shell called NaSh, identify remaining open problems in this space, and discuss research directions to address them.
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