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Actually the each MLAB module has the "mark" in metadata, which is by default set to the 50 (middle).
There should be useful if the modules could be an automatically judged by the its quality. The quality could consists multiple criterion like:
I think that majority of that tasks could be today automated by using GPT4 with vision
The text was updated successfully, but these errors were encountered:
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Actually the each MLAB module has the "mark" in metadata, which is by default set to the 50 (middle).
There should be useful if the modules could be an automatically judged by the its quality. The quality could consists multiple criterion like:
I think that majority of that tasks could be today automated by using GPT4 with vision
The text was updated successfully, but these errors were encountered: