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Machine unlearning is a branch of machine learning focused on removing specific undesired elements—such as private data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation—without needing to rebuild models from the ground up. | |||
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{{improve categories|date=December 2024}} |
Revision as of 09:25, 10 December 2024
Machine unlearning is a branch of machine learning focused on removing specific undesired elements—such as private data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation—without needing to rebuild models from the ground up.
This article needs additional or more specific categories. Please help out by adding categories to it so that it can be listed with similar articles. (December 2024) |