
Scaling the Data Bottleneck with Synthetic Data: A Case Study on IBM’s Granite Models
IBM research demonstrates how synthetic data generation can overcome training data bottlenecks for the Granite model series. This highlights a critical shift toward curated synthetic pipelines for improving model reasoning and domain accuracy.
