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PromptTuner slashes SLO violations by up to 7.9x and costs by 4.5x in LLM prompt tuning, outperforming existing resource management systems.
LLM-powered pentesting agents fail not because of model limitations, but because they can't estimate task difficulty, leading to wasted effort and premature context exhaustion.
