JoyAgent-JDGenie employs an innovative multi-intelligence collaborative architecture to address various complex task scenarios. This architecture allows different specialized intelligences to work together, each focusing on a specific sub-task and accomplishing the overall goal through the framework's coordination mechanism.
Architecture features include:
- Clear division of labor among intelligences: code generation, document processing, data analysis, etc. all have dedicated intelligences
- Dynamic task allocation: automatic allocation of intelligent body resources based on task complexity
- Integration of results: the output of each intelligence is summarized by the master intelligence to form the final solution
Examples demonstrate that the architecture can efficiently handle composite tasks such as "comparing prices of products on a shopping site": the web crawling intelligence obtains price data, the analyzing intelligence handles the comparison logic, and the reporting intelligence generates visualization results. Developers can also easily add new sub-intelligences via the config.yaml configuration file to extend the boundaries of the framework's capabilities.
This answer comes from the articleJoyAgent-JDGenie: an open source multi-intelligence framework to support automated processing of complex tasksThe
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