AI Research Reveals Training More Data Beats Bigger Models for Limited Computing Budgets
New AI research discovers that training smaller models on more data dramatically outperforms building larger models with limited data when working within tight computing budgets, revealing practitioners should prioritize gathering more training tokens over expanding model parameters as budgets increase.