Is there a fundamental difference between how a program like chatgp learns and how a human learns?
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At the basic level, different weightings in its giant neural network are adjusted to get an expected (or roughly similar to expected) output.
Simplified a bit, it’s “guessing algorithm” is retuned so that it gives a specific output for a given input.
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