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Research#llm📝 BlogAnalyzed: Dec 29, 2025 07:48

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.
Reference

“Dillon calls their “most ambitious and comprehensive project yet.””

PermalinkPractical AI
Research#machine learning📝 BlogAnalyzed: Dec 29, 2025 08:00

Machine Learning as a Software Engineering Discipline with Dillon Erb - #404

Published:Aug 27, 2020 19:23
1 min read
Practical AI

Analysis

This article summarizes a podcast episode of Practical AI featuring Dillon Erb, CEO of Paperspace. The discussion focuses on the challenges of building and scaling repeatable machine learning workflows. The core theme revolves around applying software engineering practices to machine learning, emphasizing reproducibility and addressing technical issues faced by ML teams. The article highlights Paperspace's experience in this area, from providing GPU resources to developing their Gradient service. The conversation likely delves into how established software engineering principles can be adapted to improve the efficiency and reliability of ML pipelines.
Reference

“The article doesn't contain a direct quote, but the focus is on applying time-tested software engineering practices to machine learning workflows.”

PermalinkPractical AI