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Data isn't the only thing that makes an AI model work. Google wants to make sure its chips are up to snuff, too.
The tech firm is seeking to patent a system for "debugging correctness issues" when training machine learning models. Google defines a "correctness issue" as basically a failure in training execution, or when the outcome is "not deemed to be acceptable for a particular context." These correctness issues can stem from the "configuration" of the computing system performing the training.
Source Fool.com