A Collaborative Human-AI Approach to Python Package Creation

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a summary:The principles of automation and innovation act as essential elements for contemporary science and technology. Here, we offer PYGEN, a platform for automation designed to enable researchers, technicians and amateurs to bring abstract ideas to life as used software tools in Bethon. Pygen works to take advantage of the tremendous power of the large spontaneous language models to increase human creativity during the process of thinking, repetition and innovation. By combining modern language models with the techniques of generating open source code, Pygen greatly reduces manual expenses to develop tools. From the user’s router, Pygen automatically creates Python Packages for a full functioning of the concept to the generation of bundles and documents. Our work results show that PYGEN is largely enhanced by the researcher’s productivity by enabling the creation of flexible bundles, units, well documented for different specialized purposes. We use an improvement approach directed to distillation of the user package description to increasingly and increasingly executed. Although we are an open task in nature, we have evaluated the bundles created and documents using human evaluation, and the evaluation based on LLM and Codebeu, with detailed results in the results section. Moreover, we documented our results, analyzed restrictions, and we suggested strategies to reduce them. PYGEN is our vision of moral automation, a framework that enhances totalitarianism, access and cooperative development. This project represents the beginning of a widespread effort towards creating tools where smart agents cooperate with human beings to significantly improve scientific and technological development.

The code and examples created open source in [this https URL]