MiroFlow ensures the accuracy of multi-tool collaboration through a threefold mechanism:
- MiroThinker Model Integration: Selection and parameter calibration using specially optimized open source intelligent body model processing tools
- Results Alignment Process: Cross-validation at the final output stage, including format checking, fact-checking and directive compliance assessment
- Tool usage tracking: Record the input/output data of each tool call for subsequent analysis and optimization.
- abnormal melting mechanism: Automatically triggers a backup plan or manual intervention when 3 consecutive tool calls have failed
This scheme resulted in an instrumental use accuracy of 89.31 TP3T (Claude Sonnet 3.7 model) for the GAIA validation set.
This answer comes from the articleMiroFlow: a framework for building, managing and scaling AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How to Improve the Accuracy of Intelligent Bodies in Handling Multi-Tool Tasks?
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