This blog post discusses stacking generalization, a technique in machine learning that combines multiple models to enhance predictive accuracy efficiently. It highlights how to achieve better accuracy in a short time using NVIDIA's cuML library, providing insights for ML engineers looking to optimize their predictive modeling processes.