Part 4/8:
Phil elucidated that the difference between training and inference in neural networks is crucial. Training develops models in Tesla’s substantial data center, comprising tens of thousands of GPUs, a process that can take weeks. Once trained, the model is uploaded to vehicles, where the inference phase occurs, allowing cars to process driving data in real time as they navigate the roads.