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Machine responses are only as good as their data set They didn’t have an explanation, said it was something to look into. Take giraffes as another example

An ai trained on examples of questions people asked and answered about photos learned that nobody. I looked into it recently and there was a paper on ai and they noted “araffe” coming up as a caption when it was ai generated Araf (feminine singular araf, plural araf, equative arafed, comparative arafach, superlative arafaf) slow

Arafed basically means lively or cool

You'll also see it in clip results and gpt. Agraffe (plural agraffes) the feather of an ostrich, fastened in her turban by an agraffe set with brilliants, was another distinction of the beautiful jewess, scoffed and sneered at. See examples of agraffe used in a sentence. Til the word « araffe » is often generated by image to text models and seems to be a common « bug »

The funniest part is that searching for that word on the web, you get tons of images now. I keep seeing 'arafed' and 'araffe' Contextually, in my testing at least, it seems these words should simply be the letter 'a' I've got a script that strips these words out and replaces them with 'a' and.

Agraffe synonyms, agraffe pronunciation, agraffe translation, english dictionary definition of agraffe

A fastening consisting of a loop and hook, formerly used in armour and clothing 2 A metal cramp used to connect.

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