Arize AI and OpenAI are collaborating to help organizations build and deploy unstructured models, such as natural language processing (NLP) models, more efficiently. Unstructured data is a significant challenge for deep learning, requiring human labeling or annotation to group the data and find trends and insights. OpenAI provides AI building blocks like GPT-3, Codex, and DALL-E, which can generate text or code completion, while Arize is an ML observability platform that enables teams to log structured and unstructured data to detect and resolve model performance issues faster. By combining OpenAI's generative models with Arize's logging capabilities, organizations can monitor and troubleshoot their unstructured models in production, reducing costs and maximizing performance. The collaboration allows teams to proactively identify when their data is drifting and troubleshoot using interactive visualizations like UMAP.