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impressive, but 2ft of error in a parking space is a new bumper.
Presumably, every run generates more data which it can use to refine the example-based portion of the model.
One important aspect of intelligence is, when learning something new, understanding what portions of the new information are most important and which are less relevant to understanding the broader concept.
Pretty neat, huh.
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