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Explore the groundbreaking v3 release of Jupyter AI in this 38-minute sponsored conference session that demonstrates how artificial intelligence transforms collaborative data science workflows. Discover how this open-source JupyterLab extension has evolved from a simple chat assistant to a comprehensive multi-agent collaboration platform that revolutionizes human-AI interaction in Jupyter environments. Learn about the new collaborative chat documents that can be organized on filesystems, version controlled, and shared with team members, replacing the previous single-assistant limitation. Understand the innovative AI personas feature, which introduces full-fledged AI collaborators implemented as agents that can be @-mentioned in conversations and equipped with comprehensive toolsets for working with notebooks, kernels, text files, Bash commands, Git operations, and other command-line interfaces. Examine how these AI personas can respond to human users, delegate tasks to other personas, and operate autonomously in the background to streamline workflows. Gain insights into the extensible architecture that empowers the Jupyter community to develop new AI personas as Python packages, and learn how end users can create custom AI personas locally within minutes to automate their specific tasks and enhance productivity in data science and development workflows.
