Add example with Weights and Biases + distributed finetuning #932
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I've been meaning to add these examples to the repo for a while. One is an example of how one can use WandB with Hera scripts, which is really not very different than the core Python example already documented here. The other example is from the talk I had the chance to give with @JPZ13 at KubeCon NA 2023. The example added in this PR is a flat representation of this repo. My hope with the two is illustrate that distributed training is much more accessible in Hera + Argo Workflows on K8s. Some useful references: