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Typo: missing dot end of sentence #24

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -638,7 +638,7 @@ Meanwhile, **parameters**, **optimization & regularization**, **architecture**,

**Maximizing leverage constraints are important for individual training runs, but improving the hard constraints is what really pushed forward the increasing base intelligence of models now.**

This is again indicative of the scaling laws - our models have not shown signs of coming close to fully modeling the information in current internet-scale datasets, so we continue to scale up models by increasing _compute_ and _parameters_
This is again indicative of the scaling laws - our models have not shown signs of coming close to fully modeling the information in current internet-scale datasets, so we continue to scale up models by increasing _compute_ and _parameters_.

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