Articles about "model optimization"

UK startup SLNG is developing an infrastructure layer for voice AI agents, aiming to reduce costs and improve consistency for enterprise users. By optimizing how models are selected and calls are routed, SLNG reports significant gains in efficiency and compliance, especially for sectors with strict data sovereignty requirements. The approach has attracted notable funding and early clients in regions with limited compute resources.

This article highlights seven techniques to improve the accuracy of predictive models using XGBoost, a widely-used machine learning algorithm. The strategies aim to help practitioners optimize model performance through efficient tuning and data handling. The guide is suitable for both experienced professionals and those new to XGBoost.

This article explores seven smart techniques for hyperparameter tuning in Scikit-learn, empowering data scientists and European practitioners alike to optimize AI models for better performance and efficiency.