synthetic data for training

Synthetic data refers to artificially created information that mimics real-world data, used primarily for training machine learning models. Instead of relying solely on real data, which can be limited or privacy-sensitive, synthetic data can be generated in large quantities to represent various scenarios. This helps improve model accuracy and robustness without risking exposure of personal information. By producing diverse and controlled datasets, synthetic data enables researchers and developers to test algorithms effectively, ensuring they perform well across different situations and conditions.