GCPs AutoML is part of GCP Vertex AI.

I have no experience with GCP AutoML, but I have experienced heavy overfitting when using FLAML and auto-sklearn. Did you experience the same? (I.e. AutoML outperforming the open source algos on training data?) I have the feeling that a lot of AutoML solutions „cherry-pick“ models that just happened to shine on the training data.