Scaling Laws in AI: Why Bigger Isn’t Always Better (But Often Is)

The concept of "bigger is better" has significantly influenced AI development in recent years, particularly in the context of Scaling Laws in AI. You’ve likely observed how larger models tend to dominate headlines, consistently breaking performance records. For instance, in 2017, only two models surpassed 10^23 FLOP in training compute. By 2024, this fi…