Explanation of DeepCode's Multi-Intelligent Body Architecture
Developed by the Data Intelligence Laboratory of the University of Hong Kong, DeepCode's core innovation lies in building a multi-intelligence system that simulates a professional development team. The system dispatches multiple specialized sub-intelligences through a central coordinating intelligence, including roles such as intent understanding, document parsing, code planning, and code generation, each of which has its own role and works together.
This architecture brings the significant advantage of being able to handle complex tasks that are difficult for traditional single-model systems to cope with:
- division of labor and collaboration: the document parsing intelligence handles the technical details of the PDF paper, while the code planning intelligence focuses on the structural design of the project.
- parallel processing: Multiple intelligences can synchronize different aspects of a task, dramatically increasing overall efficiency
- Professional Focus: Each intelligence is trained in a specific domain to perform more accurately on specialized tasks
The open source attributes of the system allow developers to deeply customize the workflow, and it has already achieved automated code production for scenarios such as academic paper reproduction and front- and back-end development.
This answer comes from the articleDeepCode: an intelligent body system that automatically generates papers and text into codeThe
