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Curation of training data for brevity can yield a staggering 35x improvement in inference efficiency without sacrificing accuracy in VLMs.
Stop wasting your finetuning data: Specialized Pretraining (SPT) can outperform standard pretraining and finetuning, achieving better domain performance with fewer parameters and less compute.
