BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks

no code implementations • 10 Apr 2024 • Ruijia Cheng, Titus Barik, Alan Leung, Fred Hohman, Jeffrey Nichols

We present this workflow in BISCUIT, an extension for JupyterLab that provides users with ephemeral UIs generated by LLMs based on the context of their code and intentions, scaffolding users to understand, guide, and explore with LLM-generated code.

Code Generation Prompt Engineering

Overwatch: Learning Patterns in Code Edit Sequences

no code implementations • 25 Jul 2022 • Yuhao Zhang, Yasharth Bajpai, Priyanshu Gupta, Ameya Ketkar, Miltiadis Allamanis, Titus Barik, Sumit Gulwani, Arjun Radhakrishna, Mohammad Raza, Gustavo Soares, Ashish Tiwari

Our experiments show that Overwatch has 78% precision and that Overwatch not only completed edits when developers missed the opportunity to use the IDE tool support but also predicted new edits that have no tool support in the IDE.

Symphony: Composing Interactive Interfaces for Machine Learning

no code implementations • 18 Feb 2022 • Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz

Interfaces for machine learning (ML), information and visualizations about models or data, can help practitioners build robust and responsible ML systems.

BIG-bench Machine Learning