
In the rapidly evolving field of machine learning (ML), understanding the inner workings of ML models is essential for scientists to trust and rely on their predictions. Recognizing this importance, a team of researchers at Lawrence Livermore National Laboratory has developed a comprehensive set of tools and resources aimed at unravelling the complex inner workings of ML models. In this