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The Importance of Cleaning Synthetic Data to Improve AI Performance

Getting accurate and relevant data is the most necessary and challenging part of building robust AI models. The performance of AI/ML depends on training data, but collecting large volumes of real-world data is complex, storing it is costly, and using the data raises concerns related to privacy and biases. To mitigate these challenges, synthetic data has been on the rise.…