Henrik Nordberg
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Tag: scaling
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Chinchilla Scaling Laws
Chinchilla scaling laws showed that many large language models were undertrained for their size under fixed compute budgets. The central prescription is to train smaller models on more tokens than the earlier parameter-heavy frontier, yielding better compute-optimal performance.