Machine Learning Team Lead, Hugging Face
Abubakar Abid is a machine learning team lead at Hugging Face, where he has worked since its acquisition of Gradio. Previously, he was CEO and one of the founders of Gradio. He completed his PhD at Stanford at the intersection of machine learning and medicine. He is originally from Pakistan and enjoys reading, basketball, and calligraphy.
Watch live: March 2 | 5.00PM ET
Building Interactive Machine Learning Demos Fast
Building machine learning demos is important so that non-technical collaborators and endpoint users (e.g. customers, business teams, quality testers) can provide feedback on model development. However, it can be a time consuming process as it involves front end engineering, design experience, and model deployment. In this presentation, we will talk about an open-source Python package, Gradio, which allows machine learning engineers to quickly generate a visual interface for their ML models entirely in Python. Gradio makes accessing any ML model as easy as opening a URL in your browser. We will provide a technical overview of Gradio and discuss real world use cases in which Gradio has been used to accelerate machine learning workflows.