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One of the most promising features of synthetic pretrain/playground is generated evals: solve many contamination issues by design and properly align evaluation on capabilities.
Currently working on a pipeline for generated mcqs that would be much needed for iterations on specialized environments (MMLU won’t help).
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it’s actually something i want to investigate. concept of "loss" seems radically different in synthetic pretraining and, weirdly, lower is not always better.
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