Style-Adaptive Optimization in Software Development Using MOE Structure

Dutao Zhang; Boyi Li

doi:10.5281/zenodo.13845335

Authors

Dutao Zhang ITMO University
Boyi Li ITMO University

DOI:

https://doi.org/10.5281/zenodo.13845335

ARK:

https://n2t.net/ark:/40704/JIEAS.v2n5a06

References:

15

Keywords:

LLM, Machine Learning, MOE, Random Forest, Ensemble Model

Abstract

The following literature review and research is devoted to Models of human-AI interaction in software development. The following literature review and research focuses on human-computer interaction modeling in software development. It focuses on the problems of AI's inability to reasonably recognize the user's style, and its inability to complete large and complex AI projects in human-computer AI interaction applications.

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Author Biographies

Dutao Zhang, ITMO University

Faculty of Digital Transformation, ITMO University, St. Petersburg, Russia.

Boyi Li, ITMO University

Faculty of Digital Transformation, ITMO University, St. Petersburg, Russia.

References

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