Breaking through AI data bottlenecks
As AI models become increasingly commoditized, the data required to train and fine-tune them has never been more critical. While procuring high-quality data is expensive and raises privacy concerns, there is a powerful alternative that companies like Google and JPMorgan are exploring: synthetic data. As enterprises move beyond experimenting with general-purpose models to fine-tuning their…