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Computer Science

The AI Training Paradox: Why More Data Doesn't Always Mean Smarter Models

The AI Training Paradox: Why More Data Doesn't Always Mean Smarter Models

In recent years, artificial intelligence has made significant strides, powering everything from virtual assistants to self-driving cars. Much of this progress is attributed to the availability of vast amounts of data for training machine learning models.

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