Practical AI Build custom ML tools with Streamlit
5 snips
Nov 25, 2019 
Adrien Treuille, Co-founder and CEO of Streamlit, discusses the revolutionary app framework designed for machine learning and data science. He highlights how Streamlit simplifies the development of custom ML applications, allowing non-technical users to create interactive UIs effortlessly. Adrien shares insights on its rapid adoption by major companies and contrasts Streamlit with traditional tools, emphasizing its versatility and community-driven innovations. He also touches on the ability to transform complex data scripts into user-friendly interfaces.
AI Snips
Chapters
Transcript
Episode notes
Adrien's Background
- Adrien Treuille's background spans large-scale simulations, AI-like techniques, and online community building.
- He founded Foldit and Eterna, games where players solved scientific problems.
Community-Driven Science
- Foldit and Eterna let non-technical players contribute to complex problems like protein folding and RNA design.
- Published papers resulted from player discoveries, demonstrating the power of community problem-solving.
Streamlit's Translation
- Streamlit translates app development into the language of machine learning, empowering ML engineers.
- This mirrors how Foldit and Eterna translated scientific problems into games.