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

Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch

Gradient Dissent: Conversations on AI