Continuously evolving intelligent systems
OxyGent's unique evaluation and optimization mechanism is a guarantee of its long-term value.
The system provides:
- Automatic evaluation: record the effect of each task execution and quantify the performance of the intelligences
- Data generation: automatic creation of training datasets to support subsequent model tuning
- Feedback loop: intelligences continuously improve the quality of decisions by performing data analysis
For example, the Mathematical Computing Intelligence can continuously optimize algorithmic accuracy through historical execution data, and processing time can be reduced by more than 30%. This self-optimizing capability ensures the life-cycle value of the system, enabling a sustainable return on corporate investment.
This answer comes from the articleOxyGent: Python open source framework for rapidly building intelligent systemsThe
May not be reproduced without permission:AI productivity tools " OxyGent's built-in evaluation engine ensures continuous optimization of intelligence performance
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