> We use synthetic data generation to produce the vast majority of our SFT examples, iterating multiple times to produce higher and higher quality synthetic data across all capabilities. Additionally, we invest in multiple data processing techniques to filter this synthetic data to the highest quality. This enables us to scale the amount of fine-tuning data across capabilities. [0]
Have other major models explicitly communicated that they're trained on synthetic data?