- Ruofei Du
- Na Li
- Jing Jin
- Michelle Carney
- Jun Jiang
- Xiuxiu Yuan
- Kristen Wright
- Mark Sherwood
- Jason Mayes
- Lin Chen
- Jingtao Zhou
- Zhongyi Zhou
- Ping Yu
- Adarsh Kowdle
- Ram Iyengar
- Alex Olwal
Abstract
We demonstrate Visual Blocks for ML, a visual programming platform that facilitates rapid prototyping of ML-based multimedia applications. As the public version of Rapsai , we further integrated large language models and custom APIs into the platform. In this demonstration, we will showcase how to build interactive AI pipelines in a few drag-and-drops, how to perform interactive data augmentation, and how to integrate pipelines into Colabs. In addition, we demonstrate a wide range of community-contributed pipelines in Visual Blocks for ML, covering various aspects including interactive graphics, chains of large language models, computer vision, and multi-modal applications. Finally, we encourage students, designers, and ML practitioners to contribute ML pipelines through https://github.com/google/visualblocks/tree/main/pipelines to inspire creative use cases. Visual Blocks for ML is available at http://visualblocks.withgoogle.com.
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