Abstract: This research discusses the interface of Command Line Interface (CLI) with OpenAI, thus leading to more effective CLI. The command line serves as a powerful instrument for the interaction with the computer systems through textual commands and with an open-door policy, the OpenAI platform is a serious contender in the field of NPL with contextual understanding of the written word. CLI integrates with OpenAI so as to help users handle a bunch of tasks such as system administration, better programming among many others. CLI will be able to act more naturally towards user inputs with open AI's language models by responding in a more logical, conversational manner thus creating a better user experience and lowering the learning curve of users. The study here undertakes integrating CLI with OpenAI for improvement of user experience and easier inventory of tasks in system administration, software development and data analysis. The objective is finding out the advantages, challenges and implications that arise in the process of blending these methods of interaction making the process and production smooth. The technique involves developing an interface that incorporates processors that are supported by OpenAI's languages capturing abilities. The mechanisms for obstructing the user command, connecting to OpenAI API through an API, and obtaining the response are researched. Interaction process incorporates command syntax, contextual comprehension and response accuracy for incorporating users with the system interfaces. This addition of CLI alongside open AI allows the user to command intelligently in the natural language and gets intelligent replies back. At the same time, the privacy requirements and the model biases existence in this phase require critical study to ensure optimal performance. This merging shows that some progress is being achieved in the field of human-computer interaction, with further perfection and modifying processes still being explored.
Keywords: Command Line, Generative AI,Command Prompt
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DOI:
10.17148/IJARCCE.2024.13494
