AI agents are being applied to automate the hyperparameter tuning process for XGBoost models
The approach aims to reduce manual experimentation and improve model optimization efficiency
This represents a shift toward automated machine learning (AutoML) for gradient boosting frameworks
The research bridges AI-driven optimization techniques with one of the most widely-used machine learning algorithms
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