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Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch
Manage episode 371232659 series 2973389
Lukas Biewald에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Lukas Biewald 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
On this episode, we’re joined by Soumith Chintala, VP/Fellow of Meta and Co-Creator of PyTorch. Soumith and his colleagues’ open-source framework impacted both the development process and the end-user experience of what would become PyTorch.
We discuss:
- The history of PyTorch’s development and TensorFlow’s impact on development decisions.
- How a symbolic execution model affects the implementation speed of an ML compiler.
- The strengths of different programming languages in various development stages.
- The importance of customer engagement as a measure of success instead of hard metrics.
- Why community-guided innovation offers an effective development roadmap.
- How PyTorch’s open-source nature cultivates an efficient development ecosystem.
- The role of community building in consolidating assets for more creative innovation.
- How to protect community values in an open-source development environment.
- The value of an intrinsic organizational motivation structure.
- The ongoing debate between open-source and closed-source products, especially as it relates to AI and machine learning.
Resources:
- Soumith Chintala
https://www.linkedin.com/in/soumith/
- Meta | LinkedIn
https://www.linkedin.com/company/meta/
- Meta | Website
https://about.meta.com/
- Pytorch
https://pytorch.org/
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#OCR #DeepLearning #AI #Modeling #ML
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