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The article argues LLMs are inefficient for mathematical tasks. Classical ML tools outperform LLMs in numerical reasoning. Agents should integrate classical ML for better accuracy in math-based workflows. The recommendation focuses on hybrid agent systems combining LLMs with traditional machine learning models.
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