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The model provides verbose answers even when I asked for more succinct ones. It still struggles with arithmetic (for example, it incorrectly stated "7739 % 23 =
by JacobiX 2y ago
The model provides verbose answers even when I asked for more succinct ones. It still struggles with arithmetic (for example, it incorrectly stated "7739 % 23 = 339 exactly, making 23 a divisor"). When tested with questions in French, the responses were very similar to those of GPT-4.
It is far better in knowledge based questions, I've asked this difficult one (it is not 100% correct but better than other LLMs) :
In Anna Karenina what does it mean: most of us prefer the company of Claras ?
- electrondood 2y agoGiven the wide variety of experiences of commenters here, I'm starting to wonder if they're split testing multiple versions.