Training and Deploying Model Frontiers to Automatically Adjust to Business Realities
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United States of America
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Jul 28, 2022
app pub date -
Jan 22, 2021
filing date -
Jan 22, 2021
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Abstract
A method includes receiving data characterizing a first output of one or more of a first set of models associated with a first organization, the first set of models trained on a first dataset using a first set of resourcing levels; training one or more of a second set of models associated with a second organization based on a second dataset using a second set of resourcing levels, global constraints and the first output, wherein the second set of resourcing levels specifying a second condition on outputs of the one or more of the second set of models; assessing, based on a second output of the one or more of the second set of models, performance of the one or more of second set of models; and retraining the first set of models or a subset thereof. Related apparatus, systems, articles, and techniques are also described.
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