Tag: scaling laws

Scaling Laws in Generative AI: Why More Parameters Improve Model Performance

Discover how scaling laws in generative AI predict performance gains from more parameters. Learn why bigger models work better, the math behind power laws, and how to optimize architecture for efficiency.

How Training Duration and Token Counts Affect LLM Generalization

Training duration and token counts don't guarantee better LLM generalization. What matters is how sequence lengths are structured during training. Learn why variable-length training beats raw scale and how to avoid common pitfalls.