[GSoC] Create LLM Hyperparameters Optimization API Proposal #767

Job	Run time
e2e (v1.27.11, long-running-resume,from-volume-resume,median-stop)	2m 0s
e2e (v1.27.11, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	2m 0s
e2e (v1.27.11, file-metrics-collector,pytorchjob-mnist)	2m 0s
e2e (v1.27.11, median-stop-with-json-format,file-metrics-collector-with-json-format)	2m 0s
e2e (v1.28.7, long-running-resume,from-volume-resume,median-stop)	2m 1s
e2e (v1.28.7, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	2m 11s
e2e (v1.28.7, file-metrics-collector,pytorchjob-mnist)	1m 58s
e2e (v1.28.7, median-stop-with-json-format,file-metrics-collector-with-json-format)	1m 59s
e2e (v1.29.2, long-running-resume,from-volume-resume,median-stop)	1m 59s
e2e (v1.29.2, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	2m 12s
e2e (v1.29.2, file-metrics-collector,pytorchjob-mnist)	2m 0s
e2e (v1.29.2, median-stop-with-json-format,file-metrics-collector-with-json-format)	1m 58s
	24m 18s

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