



What strategies can be used to retrain or update a deployed model that has started to exhibit signs of overfitting in production?
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what is overfitting Informational
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- Explain the concept of synthetic data generation. How can it be used to augment the training data and potentially reduce overfitting, especially when real data is scarce?
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- In generative adversarial networks (GANs), how can the discriminator overfit to the training data, leading to poor generation?
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