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The Impact of Model Size on AI Performance
This chapter examines how model size impacts performance in artificial intelligence, focusing on scaling loss and its relevance to achieving artificial general intelligence (AGI). It also discusses the roles of inductive bias and the unpredictability of emergent capabilities in larger neural networks.