AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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We ask whether large language models (LLMs) can design effective algorithms for well-specified operations research (OR) problems. We study inventory control, queueing network control, and assortment optimization, using benchmark instances from recent papers in each area. We evaluate two levels of LLM use: at level 1, t...
For the well-specified operations problems the authors study, a single untuned LLM query can already produce algorithms competitive with specialized methods, suggesting that frontier LLMs can be a serious empirical baseline for algorithm design in well-specified OR problems.
For the well-specified operations problems the authors study, a single untuned LLM query can already produce algorithms competitive with specialized methods, suggesting that frontier LLMs can be a serious empirical baseline for algorithm design in well-specified OR problems.
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