Hugging Face and Arize are partnering to democratize state-of-the-art machine learning by providing a platform for organizations to train unstructured models, monitor their performance, and troubleshoot issues in production. Hugging Face offers a community-driven hub with pre-trained models and datasets, while Arize provides an ML observability platform that enables teams to log models with structured and unstructured data, detect and root cause model performance issues faster, and visualize high-dimensional data using interactive UMAP visualization. Together, they aim to improve the transparency and accountability of AI systems, making them more explainable and trustworthy. By leveraging Hugging Face's Hub and Arize's platform, teams can identify problems with their models and datasets, make public changes, and contribute to a better understanding of AI in various industries.