Synthetic Data GenerationSynthetic data can be created using rule-based algorithms, simulations, or models that mimic real-world scenarios. This approach is beneficial when the required data is highly expensive. For instance, synthetic data can be generated in autonomous vehicle development to simulate various driving scenarios, allowing AI models to be trained in various situations.
How to overcome AI Training Data Shortage in the Future!
