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GPTOpt: Towards Efficient LLM-Based Black-Box Optimization

arXiv — cs.LG•Thursday, October 30, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
The introduction of GPTOpt marks a significant advancement in the field of black-box optimization, particularly for expensive and derivative-free functions. This new approach leverages the capabilities of Large Language Models (LLMs) to enhance sample efficiency, addressing the limitations of traditional methods like Bayesian Optimization that often require extensive parameter tuning. By improving the efficiency of optimization tasks, GPTOpt could streamline processes across various applications, making it a noteworthy development in both AI and optimization research.
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