Tag: scaling laws

Apr, 25 2026

Why LLM Scaling Laws Fail: The Hidden Limits of Model Growth

Explore why LLM scaling laws fail in real-world production. Learn about Chinchilla optimality, overtraining, and the limits of compute-driven AI growth.

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Mar, 20 2026

Tokens per Parameter: How Much Data Large Language Models Really Need

Large language models need far more data than most people think. The key is tokens per parameter - and the magic number is 20. Learn why more data beats more parameters and how scaling laws shape today’s AI.

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