GPTOpt: Teaching LLMs to do Interpretable Black-Box Optimization
Paper
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2510.25404
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Published
GPTOpt is a black-box optimization assistant that add black-box optimization capabilities to LLMs. The intended use case is currently continuous optimization problems with 10 or fewer parameters. The model is a fine-tune of Llama 3.1 8B Instruct trained via Unsloth.
We provide integration and usage guidelines via OptunaHub.
More information about the model is available in our paper.