Why Synthetic Data?

Synthetic Data is important because it can help to train the model on a wide range of topics and styles of language. This can result in more versatile and creative language generation, as the model is not limited by the specific data it has been trained on. Synthetic data can also help to identify and correct errors in the model's output, as it can generate data that is similar to real-world data but with known errors or inaccuracies.

Elon Musk & Jim Fan from NVIDIA has also shared about the importance of Synthetic Data.