Add more AI/ML Training Examples

[andreyvelich]

As we discussed previously: https://github.com/kubeflow/training-operator/pull/2021#issuecomment-1987733922 we want to add more AI/ML examples to the Kubeflow Training Operator. Right now, most of our examples have very basic and simple CNN training for MNIST. Since Training Operator is capable to train large-scale ML models, we would like to contribute more AI/ML use-cases.

We can make these examples Data Scientists friendly and re-use our Python SDK within Jupyter Notebooks to simplify the user submission. I like the example structure of HF Transformers, so I propose the following path: examples/<framework>/<ml-use-case>

We can start with these examples (feel free to add more ML use-cases in this issue):

• [x] Language Modeling
• [x] Image Classification
• [x] Text Classification
• [ ] Audio Classification
• [ ] Question Answering
• [ ] Speech Recognition
• [ ] Text Generation

We should investigate how to configure our CI/CD to make sure that these examples are functional.

cc @kuizhiqing @johnugeorge @tenzen-y @kubeflow/wg-training-leads

/help /good-first-issue /area example

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In response to [this](https://github.com/kubeflow/training-operator/issues/2040): >As we discussed previously: https://github.com/kubeflow/training-operator/pull/2021#issuecomment-1987733922 we want to add more AI/ML examples to the Kubeflow Training Operator. Right now, most of our examples have very basic and simple CNN training for MNIST. Since Training Operator is capable to train large-scale ML models, we would like to contribute more AI/ML use-cases. > >We can make these examples Data Scientists friendly and re-use our Python SDK within Jupyter Notebooks to simplify the user submission. >I like the example structure of [HF Transformers](https://github.com/huggingface/transformers/tree/main/examples), so I propose the following path: `examples//` > >We can start with these examples (feel free to add more ML use-cases in this issue): > >- [x] Language Modeling >- [x] Image Classification >- [x] Text Classification >- [ ] Audio Classification >- [ ] Question Answering >- [ ] Speech Recognition >- [ ] Text Generation > > >**We should investigate how to configure our CI/CD to make sure that these examples are functional.** > >cc @kuizhiqing @johnugeorge @tenzen-y > >/help >/good-first-issue >/area example Instructions for interacting with me using PR comments are available [here](https://git.k8s.io/community/contributors/guide/pull-requests.md). If you have questions or suggestions related to my behavior, please file an issue against the [kubernetes/test-infra](https://github.com/kubernetes/test-infra/issues/new?title=Prow%20issue:) repository.

[xr-dev-saurabh]

/assign

[StefanoFioravanzo]

@andreyvelich I love this. Few thoughts:

• Whenever we publish a new example, please reach out to me or Amber so that we can help turning it into either a short blog post or at least disseminate via social media.
• How do you define the actual use case for these topics?
• Are these examples supposed to be specific to the training operator or were you thinking of a wider applicability (serving, tuning, metadata, etc.)