Year: 2025
Type: preprint
Abstract: 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.
Source: arXiv (Cornell University)
Authors: Gyawali, Bimal Raj, Achalla, Saikrishna, Kallas, Konstantinos, Kumar, Sam
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4415124309
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