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Adaptive layer selection in LLMs can significantly enhance inference efficiency without sacrificing accuracy, achieving better performance than static pruning methods.
Even GPT-4 struggles to maintain its reasoning prowess when faced with the rigor and efficiency demands of a realistic high school exam, suggesting current LMMs are far from being ready for prime time as intelligent tutors.
