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> It means that the model produces results inconsistent with their training data. Or that’s what people say, sometimes the training data is just not that good.
by est 3y ago
> It means that the model produces results inconsistent with their training data. Or that’s what people say, sometimes the training data is just not that good.
If you ask a real person to put together an essay on an obscure topic without extensive research, I bet 80% of the content is made up "hallucinations"
- seba_dos1 3y agoWell, that's hardly surprising. Asking random people to put together essays on obscure topics without extensive research is a great way to produce essays as useful as ChatGPT's output ;)