In the rapidly evolving world of AI, data is king—but what happens when the data we rely on is synthetic? While data augmentation offers a promising solution to the challenges of collecting real-world examples, it comes with hidden dangers. From the risk of model collapse to the inability to capture the nuances of human language,…
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