Synthesis of neural networks and system analysis using socratic methods for managing corporate it projects
Abstract
Synthesis of neural networks and system analysis using socratic methods for managing corporate it projects
Incoming article date: 10.12.2024The article examines the modular structure of interactions between various models based on the Socratic dialogue. The research aims to explore the possibilities of synthesizing neural networks and system analysis using Socratic methods for managing corporate IT projects. The application of these methods enables the integration of knowledge stored in pre – trained models without additional training, facilitating the resolution of complex management tasks. The research methodology is based on analyzing the capabilities of multimodal models, their integration through linguistic interactions, and system analysis of key aspects of IT project management. The results include the development of a structured framework for selecting suitable models and generating recommendations, thereby improving the efficiency of project management in corporate environments. The scientific significance of the study lies in the integration of modern artificial intelligence approaches to implement system analysis using multi – agent solutions.
Keywords: neural networks, system analysis, Socratic method, corporate IT projects, multimodal models, project management