Databricks paper finds data quality outweighs model architecture in LLM speed
When firms race to shave weeks off large‑language‑model training, the instinct is to chase bigger GPUs, fancier architectures, or exotic optimization tricks. Yet the bottleneck often hides in the data pipeline, not the model itself.