Build A Full Stack ML Powered App In An Afternoon With Baseten

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This is a cross-over episode from our new show The Machine Learning Podcast, the show about going from idea to production with machine learning.
Building an ML model is getting easier than ever, but it is still a challenge to get that model in front of the people that you built it for. Baseten is a platform that helps you quickly generate a full stack application powered by your model. You can easily create a web interface and APIs powered by the model you created, or a pre-trained model from their library. In this episode Tuhin Srivastava, co-founder of Basten, explains how the platform empowers data scientists and ML engineers to get their work in production without having to negotiate for help from their application development colleagues.
The intro and outro music is from Hitman’s Lovesong feat. Paola Graziano by The Freak Fandango Orchestra/CC BY-SA 3.0
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Introduction and Episode Overview
Interview with Tuohin Srivastava
Base 10: Overview and Origin
Target Users and Use Cases for Base 10
Challenges in Building Full-Stack ML Applications
Comparison with Other ML Tools
Technical Implementation of Base 10
User Experience and Workflow Design
Model Limitations and Constraints
Prototyping and Scaling with Base 10
Monitoring and Lifecycle Management
Unexpected Use Cases and Lessons Learned
Future Plans for Base 10
Conclusion and Final Thoughts
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