What are the benefits of using synthetic data?
Synthetic data can enhance model training by providing diverse, high-quality datasets without privacy concerns.
How does synthetic data improve machine learning models?
It helps in reducing overfitting, increases generalization, and allows for testing in various scenarios.
Are there any downsides to using synthetic data?
Yes, if not generated properly, it may not accurately represent real-world data, leading to biased models.
Can synthetic data be used for all types of AI applications?
While it’s beneficial for many applications, some areas may still require real data for accuracy.
What industries benefit the most from synthetic data?
Industries like healthcare, finance, and autonomous vehicles see significant advantages from synthetic data.
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