Open Source Startup Podcast
E115: End-to-End AI Lifecycle Management with ClearML
Nov 15, 2023
Moses Guttmann, CEO of ClearML, discusses the importance of automation and building multiple components for a comprehensive solution. They also talk about the shift towards using LLMs and challenges in building and scaling enterprise information access solutions. Moses provides advice to founders in the LLM or ML Ops fields on building and monetizing open source projects.
34:51
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Quick takeaways
- ClearML prioritizes building a modular infrastructure to provide multiple solutions for complex problems in deep learning and machine learning.
- ClearML adopts an open-source model to forge stronger connections with users, ensure transparency, and receive immediate feedback.
Deep dives
Building a Comprehensive Platform for Deep Learning and Machine Learning
Moses Gutman, CEO and co-founder of ClearML, discusses the development and progression of their end-to-end platform for deep learning and machine learning. ClearML focuses on providing solutions for companies working with complex problems that require multiple solutions. They believe that a single solution is not enough to solve these problems, and thus they provide a modular infrastructure that allows users to connect and automate various components. This approach prioritizes building a unified layer for maximum visibility and automation, allowing users to utilize both ClearML's modules and external solutions.
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