Embracing Error: Teaching AI to Learn from Mistakes
Introduction Artificial Intelligence (AI) and machine learning represent transformative technologies that decipher complex patterns within massive datasets to predict outcomes and make decisions. Traditionally, these systems are honed during training phases to minimize errors—an approach ingrained in their developmental fabric. […]
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