This work observes that large language models (LLMs) can be effectively employed as optimizers in various mathematical tasks, notably enhancing performance via tailored prompts.
Our experiments illustrate that by meta-designing prompts, LLMs can adapt to diverse optimization challenges, outperforming traditional methods across several benchmarks.
#prompt-optimization #large-language-models #mathematical-optimization #deep-learning #artificial-intelligence
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