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52: The success story behind PyTorch

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Manage episode 365063415 series 2390222
Content provided by Pascal Hartig. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pascal Hartig or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

PyTorch is now one of the most popular machine learning frameworks out there but that was not a foregone conclusion when it was released in 2016. Our host Pascal is joined by Suraj, a developer advocate here at Meta, to dissect the history of PyTorch and look at the factors that contributed to its success. That includes understanding your target audience, maintaining backwards compatibility, fostering a helpful community and so much more.

You don't need to be an expert in PyTorch to enjoy the discussion as Suraj explains all the basics.

Got feedback? Send it to us on Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don’t forget to follow our host @passy (https://twitter.com/passy and https://mastodon.social/@passy). Fancy working with us? Check out https://www.metacareers.com/.

Links:

Timestamps:

    • Intro 0:05

    • Suraj Intro 1:52

    • What is PyTorch? 4:39

    • History of PyTorch 5:33

    • Choosing a Target Audience 7:27

    • Python and Performance 11:20

    • Design Decisions 19:04

    • OSS Governance and Community 21:11

    • PyTorch 2.0 25:47

    • How to get started 28:32

    • Outro 30:14

    • Bloopers 32:16
  continue reading

71 episodes

Artwork

52: The success story behind PyTorch

Meta Tech Podcast

39 subscribers

published

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Manage episode 365063415 series 2390222
Content provided by Pascal Hartig. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Pascal Hartig or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

PyTorch is now one of the most popular machine learning frameworks out there but that was not a foregone conclusion when it was released in 2016. Our host Pascal is joined by Suraj, a developer advocate here at Meta, to dissect the history of PyTorch and look at the factors that contributed to its success. That includes understanding your target audience, maintaining backwards compatibility, fostering a helpful community and so much more.

You don't need to be an expert in PyTorch to enjoy the discussion as Suraj explains all the basics.

Got feedback? Send it to us on Twitter (https://twitter.com/metatechpod), Instagram (https://instagram.com/metatechpod) and don’t forget to follow our host @passy (https://twitter.com/passy and https://mastodon.social/@passy). Fancy working with us? Check out https://www.metacareers.com/.

Links:

Timestamps:

    • Intro 0:05

    • Suraj Intro 1:52

    • What is PyTorch? 4:39

    • History of PyTorch 5:33

    • Choosing a Target Audience 7:27

    • Python and Performance 11:20

    • Design Decisions 19:04

    • OSS Governance and Community 21:11

    • PyTorch 2.0 25:47

    • How to get started 28:32

    • Outro 30:14

    • Bloopers 32:16
  continue reading

71 episodes

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