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The examples in the article seem to be making the point that even when the AI cites the correct context (ie: financial reports) it still produces completely hallucinated information.

So even if you were to white-list the context to train the engine against, it would still make up information because that's just what LLMs do. They make stuff up to fit certain patterns.

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That’s not correct. You don’t need to take my word for it. Go grab some complete baseball box scores and you can see that ChatGPT will reliably translate them into an entertaining English paragraph -length outline of the game.

This ability to translate is experimentally shown to be bound to the size of the LLM but it can reliably not synthesize information for lower complexity analytic prompts.

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