Compositional ML and the Future of Software Development with Dillon Erb - #520
Published:Sep 20, 2021 19:46
•1 min read
•Practical AI
Analysis
This article from Practical AI discusses compositional AI and its potential impact on software development, featuring an interview with Dillon Erb, CEO of Paperspace. The conversation explores compositional AI as a potential breakthrough in machine learning, the shift away from notebooks towards traditional engineering code artifacts by Paperspace, and the launch of their new Workflows system. The article highlights the evolution of machine learning practices and the tools used by developers, offering insights into the future of the field.
Key Takeaways
- •Compositional AI is presented as a potential next frontier in machine learning.
- •Paperspace shifted from a notebook-centric approach to a more traditional engineering code artifact model.
- •Workflows, a new automation and build system for ML applications, is highlighted as a significant project.
Reference
“Dillon calls their “most ambitious and comprehensive project yet.””