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Overfitting is a condition in which a model adapts too closely to the training data, resulting in poor performance on new, previously unseen data. This problem occurs when the model learns the random noise in the training data and therefore fails to generalize. A model that fits the training data too close exhibits weak performance on test data. This means the model has learned specific patterns in the training data to an excessive degree and cannot generalize across a broader data set.Causes of

Physical Intelligence is a technology company focused on developing general-purpose physical intelligence in the fields of artificial intelligence (AI) and robotics. Founded in 2024 in San Francisco, California, the company aims to build foundational models and learning algorithms for robots and physical devices. Its work is directed at enabling AI systems to function effectively not only in digital environments but also in the physical world. Physical Intelligence develops systems that allow ro