Mingjie Tang

Update the reference paper for the SAC

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## What changes were proposed in this pull request? Update the SAC reference paper in the readme. ## How was this patch tested? No test is needed.

Dear All We are implementing a multi-lora framework to support fine tune llms with same base model in one GPU. We are so glad to work with the community to...

### Is your feature request related to a problem? Please describe. _No response_ ### Solutions we provide a solution base on reusing the base model to fine tune multiple chatglm....

[Feat] Test LightGBM based on XGboost Operator

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LightGBM is also popular for the boosting tree model, thus, it is natural to demo or test how LGBM to run over XGboost Operator.

Add E2E tests

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. E2E tests should be run on presubmit, postsubmit, and periodically . Tests should cover deployment (kustomize packages) as well as the application functionality

Perform scalability and load testing for v1 controller

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* Good reference that summarizes scalability testing for xgboost-operator here * We may be able to leverage https://github.com/kubeflow/kubebench

How to export the model via the doc in the readme

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PLS provide the doc for "Merge LoRA weights and export model"