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BoLT: A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks
Optimization of LLM training and inference configurations, such as hyperparameters, data mixtures, and prompts, is critical to performance, but it is often approached heuristically in practice, leading to potentially suboptimal outcomes. By framing them as noisy, expensive, and derivative-free optim
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