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Gradio's Value Proposition
- Consider Gradio for prototyping or building ML tools.
- It adds value by bridging the gap between ML developers and stakeholders, enabling feedback and collaboration.
Two Cycles of Machine Learning
- Machine learning development involves two cycles: prototyping/exploration and deployment.
- Gradio bridges these cycles, enabling feedback from stakeholders like quality testers and business teams.
Sister's Insight
- Abubakar Abid's sister, with no ML background, used a Gradio demo and questioned a model's prediction.
- Her simple observation highlighted a crucial ML concept (abstention), showcasing Gradio's educational value.