Episode 3: Training a Robot’s Brain – OpenVLA’s Learning and Adaptation

Welcome back to our OpenVLA deep dive. In the last episode we figured out what the model’s parts are and how they operate. Now it’s time for the next logical question: How do you teach such a model to do all those tasks? Today we’re going to talk about OpenVLA’s training process—both its initial pretraining on a huge dataset and the ways we can fine-tune it afterward. If Episode 2 was the “hardware” (so to speak) of the brain, consider this the “education and practice” that made it smart.

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