MLOps meetup #14 // Kubeflow vs MLflow with Byron Allen

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  • Опубліковано 14 лис 2024

КОМЕНТАРІ • 13

  • @gangadhar90able
    @gangadhar90able 4 роки тому +4

    Very informative and I am glad I found this video on youtube. Please continue publishing great talks

    • @MLOps
      @MLOps  4 роки тому +1

      Thank you for the kind words!

  • @w2lkm2n
    @w2lkm2n 3 роки тому +1

    Very good article and discussion, I have been eager to know this for years, but didn't find the time to learn the differences.
    Now I finally understand the differences, thank you!

    • @MLOps
      @MLOps  3 роки тому

      excellent! happy that we could help!

  • @Klayhamn
    @Klayhamn 3 роки тому

    Such a good no-bullshit coverage of the topic, props!

  • @tcnthomas
    @tcnthomas 4 роки тому +1

    Thanks Byron/Demetrios for this session. As I started to move into kubeflow/kfserving space I also wanted to know what other tools there are to compare with.
    This session gives me a good start to explore further.

    • @MLOps
      @MLOps  3 роки тому

      Hi Theo! Wow there are so many, are you lookin gfor service specific tooling or pipelines, model metric tracking, monitoring, feature stores? there are really a lot of options out there but I can try and help if possible!

  • @JuanPabloBragaBrum
    @JuanPabloBragaBrum 4 роки тому

    Thanks for sharing knowledge, I am now facing the comparison of MLFlow and Kubeflow as MLOps tools

    • @MLOps
      @MLOps  4 роки тому

      Very cool! happy to hear it helps!

  • @Lakhan0309
    @Lakhan0309 4 роки тому +1

    Very informative session. The Slack link is not working for me is it possible to share new invite link?

    • @MLOps
      @MLOps  4 роки тому

      go.mlops.community/slack

  • @ajithshenoy5566
    @ajithshenoy5566 4 роки тому

    I'm new here ! Does the talks and meets generally focus on just technical discussions or are there hands on sessions as well ? Thanks

    • @MLOps
      @MLOps  4 роки тому +1

      Howdy! we are currently working on creating engineering labs for the hands-on experience portion, you can check out more about that on our slack. we also have a few walkthroughs on our medium page and there is one hands-on workshop here on our channel.
      Relative links:
      go.mlops.community/slack
      medium.com/mlops-community