Deploying ML Models in Production: An Overview

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  • Опубліковано 22 гру 2024

КОМЕНТАРІ • 23

  • @Erosis
    @Erosis 2 роки тому +35

    ML Ops is such a rarely taught topic in academia. Thank you so much for this explanation. I hope there is more to come!

    • @ValerioVelardoTheSoundofAI
      @ValerioVelardoTheSoundofAI  2 роки тому +8

      Indeed. Most of the time, academia is focused only on the research side. Productisation is mainly done in the industry.

    • @luisokech8912
      @luisokech8912 2 місяці тому

      @@ValerioVelardoTheSoundofAI this is a helpful comment

  • @Diego0wnz
    @Diego0wnz 2 роки тому +1

    Almost starting as a data science consultant and I really need this video series!!! Comes at perfect time

  • @fcojperez
    @fcojperez 7 місяців тому

    Good summary of all different ML "framework" (if we may agree on that) to deploy a ML model. Thank for that 🙏

  • @stefanvasilev8948
    @stefanvasilev8948 Рік тому +1

    Thank you very much! This was the most helpful resource I've found on the topic!

  • @maxwohrle1049
    @maxwohrle1049 2 роки тому +1

    Great video as always. You really helped me a lot with my master thesis. This video series is yet another important building piece in dealing with audio machine learning projects. If I may add a comment. The Mnist dataset is a good example to demonstrate the deployment, but since the channel is called "the sound of ai" it would also be very interesting to see how to deploy a model that classifies an audio stream in real time.

    • @ValerioVelardoTheSoundofAI
      @ValerioVelardoTheSoundofAI  2 роки тому +1

      Thank you Max. I will cover audio classification in realtime in a future series. I'd like to keep this mini-series is domain agnostic.

  • @travelwithak_
    @travelwithak_ Рік тому

    Thanks very much for the detailed explanation. Really helpful👏

  • @ahmedgoniboulama8423
    @ahmedgoniboulama8423 Рік тому

    Hello, great video, well explained, i would like to know if BentoML can be used to Deploy MeshSegNet models?

  • @karndeepsingh
    @karndeepsingh 2 роки тому

    Can you make a comparison video using ZenML and other MLOps tools?

  • @sarthak7413
    @sarthak7413 2 роки тому

    Great Explanation..From where to get code files?

  • @AbdurrahimKururu
    @AbdurrahimKururu 7 місяців тому

    this is very helpful
    thanks

  • @Coolblockj
    @Coolblockj 2 роки тому

    Hey! I've been trying to work on deploying some complex models and wondered if you had any experience in industry tools that do this well
    The scenario is essentially I have two models that need to be run, but one of the features they use is a completely separate model. Is there any industry standard software you know of to make that easier to do in a more scalable way? And if I eventually add more models that then depend potentially on those?

  • @tirateable
    @tirateable 2 роки тому

    How are you? my question is different, please guide me I need to develop model language for Local language for speech recognation!

  • @abdullrahmanelhayek2577
    @abdullrahmanelhayek2577 Рік тому

    Thank you so you amazing , videos , could you please make a vedio about how to use CHATGPT in programming

  • @arumugam2615
    @arumugam2615 2 роки тому

    Great ...

  • @sudharsankp
    @sudharsankp 2 роки тому

    I was really hoping if someone in the audio domain talks about deploying an speech model and give some pointers on ML Observability.

    • @ValerioVelardoTheSoundofAI
      @ValerioVelardoTheSoundofAI  2 роки тому

      I won't be talking specifically about audio models in the next video. However, the same steps apply also in audio processing.

  • @noahdrisort2005
    @noahdrisort2005 2 роки тому

    Currently I use torchserve