AI Application Development

Executive summary Short summary: The provided source set contains a key finding: large language models (LLMs) frequently miss subtle visual artifacts in data visualizations, creating a blind spot for model-driven analysis and automated commentary in data apps [1]. The sources do not include explicit release notes or feature announcements for Posit, Streamlit, Quarto, Jupyter, Shiny,…