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Jean-Pierre Bianchi's avatar

Hi Devansh!

They put a constraint on the budget, which means smaller models can generate more possible solutions than a big LM. In a nutshell, more solutions cover a larger number of problems solved with more diverse solutions even if there are more false positives.

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Devansh's avatar

Did they give a reason why Smaller models would product better data?

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