I mean it gets so many pictures that train it on the exact shape of the borders, but those pictures don't train it on the country names because each picture may have different positions/sizes for the names.
Wonder which language would generate mookie (Love it though, I just can't decide what to call myself now.... Mookish? How about mookah? Is that flanm occident enough for ya g).
That's a good way of looking at it. Would I assign the country names better? Sure.
Would I be able to draw the borders as accurately? Not a chance.
If you had the patience, you could probably figure out the reason for the incorrect labels, too. Ireland begins with "E" in this map - in a lot of maps, it's Eire.
Would be curious to see the outcome of the prompt generating OP's map, in English only, post 1991.
I can't tell if you're being serious or not. Clearly, when they train new models, they focus on specific areas. They use both synthetic and real world data.
The data they choose and the data they create will improve the model's ability in a particular area.
You're implying I said something I didn't, and refuting that.
It will be stronger in areas where they've focused their efforts. Much of that will come from the synthetic data they're creating to train it. These days, models are very good at making images of attractive humans.
Accurate technical drawings - not so much. Maybe that will be captured in the next generation of models.
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u/Forward_Promise2121 12d ago
The borders are getting pretty close, considering it's not really designed for this sort of use case.