Bridging Notebooks and Workflows
Dillon highlights the evolution of tools like Kubeflow and Kale, which aim to streamline machine learning processes by integrating familiar software engineering practices. Sam emphasizes the value of notebooks for experimentation, questioning how to effectively transition from exploratory work to structured workflows without losing the benefits of the initial creative process. The discussion reveals a desire to create a seamless connection between these two worlds.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Compositional ML and the Future of Software Development with Dillon Erb - #520
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