Preserving decision value order while training successive artificial intelligence model releases
AssigneeCrowdStrike, Inc.
InventorsMichael Slawinski, Patrick Crenshaw
Life of this patent
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Abstract
The present disclosure provides an approach of producing, by a first artificial intelligence (AI) model, decision values corresponding to data samples in a validation dataset. The processing device determines a decision value order of the data samples based on the decision values. In turn, the processing device trains a second AI model based on the decision value order and the data samples to generate an output from an input dataset.
Claims20
A method comprising:
- producing, by a first artificial intelligence (AI) model, a plurality of decision values corresponding to a plurality of data samples in a validation dataset;
- determining a decision value order of the plurality of data samples based on the plurality of decision values;
- and
- training, by a processing device, a second AI model based on the decision value order and the plurality of data samples to generate an output from an input dataset.
A system comprising:
- a memory;
- and
- a processing device, that is operatively coupled to the memory, to:
- produce, by a first artificial intelligence (AI) model, a plurality of decision values corresponding to a plurality of data samples in a validation dataset;
- determine a decision value order of the plurality of data samples based on the plurality of decision values;
- and
- train a second AI model based on the decision value order and the plurality of data samples to generate an output from an input dataset.
A non-transitory computer readable medium, storing instructions that, when executed by a processing device, cause the processing device to:
- produce, by a first artificial intelligence (AI) model, a plurality of decision values corresponding to a plurality of data samples in a validation dataset;
- determine a decision value order of the plurality of data samples based on the plurality of decision values;
- and
- train, by the processing device, a second AI model based on the decision value order and the plurality of data samples to generate an output from an input dataset.
Dependencies are inferred from the claim text.