It's still just a model predicting the next words in the sequence. All your examples tell us its it has a good source to draw from. Which also exposes one of the risks using these. If all the sources for a subject are wrong, or, say, 50/50, and the LLM doesn't tell you that, you can be misled.
Had you not specified "Alberta" in your query, you may have been given examples for the US instead of Canada, and then jurisdictional confusion might have you looking like Danielle Smith. So it is important to specify specifics if you plan on using it for anything serious, and part of that is knowing which specifics need to be presented to the model, which could be a challenge.
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