The promise and perils of synthetic data

As access to real-world data becomes more challenging, AI companies are increasingly turning to synthetic data for training. While this approach offers various benefits, including cost savings and faster data generation, it also carries risks like introducing biases and potential model collapse. Synthetic data needs to be meticulously curated and combined with real data to ensure effective AI training.