proceedings.mlr.press
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Large language model (LLM) scaling laws are empirical formulas that estimate changes in model quality as a result of increasing parameter count and training data. However, these formulas, including...