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[ADVICE]Add a simple QuickStart Example #103
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Good to hear that. One more example would be appreciated by the community. |
I would like to work on the issue. @MooreZheng @IcyFeather233 do you have any suggestion on what model example we can add in the quick-start guide? |
Welcome! As suggested via @IcyFeather233 , @AryanNanda17 might want to add MNIST with CNN, under single-task learning and try to write a new quick-start markdown as https://ianvs.readthedocs.io/en/latest/guides/quick-start.html |
Hello @MooreZheng
Can we include this idea in LFX spring? I will be interested in contributing. |
Maybe we can increase the scope of this idea, after the basic implementation of MNIST with CNN, under single-task learning is done. |
Hi @MooreZheng and @hsj576, I am deeply interested in contributing to the KubeEdge/Ianvs community and would love to participate in advancing the project further. If we could include this project in the LFX mentorship program, it would significantly boost my motivation to work with and for the community. The CNCF community has already started accepting project proposals for the upcoming mentorship round. You can find more details here: CNCF Mentorship Program. Would it be possible to pitch a proposal for this project? Or, do you have any other projects in mind that might align with the mentorship goals? Looking forward to your guidance and support! Thanks and regards, |
Nice to hear from you Aryan. Good news is, on the KubeEdge routine meeting this Wednesday, KubeEdge has decided to join LFX 1st term 2025. We do seriously consider polishing ianvs during LFX and @FuryMartin also contributes critical ideas on proposals on the routine meeting of this week. We start the drafting phase of all proposals in KubeEdge SIG AI today. Note that
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That is awesome! I look forward to the project proposals.
@MooreZheng, what do you mean by previous projects of candidates in KubeEdge?
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What should be added/modified:
The current QuickStart examples often require a variety of AI-related environments, but these environments may not be necessary during actual use. Moreover, the process of installing and configuring these environments is quite cumbersome. I believe that the project should have a simpler example to get started quickly, just like the MNIST handwritten digit recognition task in CNN.
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