Model Scaling Insights
Jack and Tim discuss how larger models with more priors require less data at test time, emphasizing the importance of model size in reducing data needs. Mohamed highlights the significance of reusing priors to potentially decrease training time, challenging the notion of exponential data growth with respect to concepts.In this clip
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