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Would be nice to see integration with Kubeflow Model Registry as well. cc @kubeflow/wg-data-leads
If there is a tutorial of the part specific to this project that exhibit the metadata we want to capture on Model Registry, I would be very happy to complement that example with indexing those metadata on MR ! 🚀👍
@andreyvelich I may have misunderstood the initial context of this API because I was under the impression that you could serve the model once fine-tuned. Can you elaborate on this?
So user can't re-use that model for inference or other purposes.
@andreyvelich I may have misunderstood the initial context of this API because I was under the impression that you could serve the model once fine-tuned. Can you elaborate on this?
So user can't re-use that model for inference or other purposes.
We discussed here: kubeflow/website#3718 (comment) that our LLM Trainer doesn't export the fine-tuned model.
So user can't re-use that model for inference or other purposes.
We should discuss how user can get the fine-tuned artifact after LLM Trainer is complete.
/cc @kubeflow/wg-training-leads @deepanker13
Would be nice to see integration with Kubeflow Model Registry as well. cc @kubeflow/wg-data-leads
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