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by qrian
924 days ago
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I've seen models learn heuristics that are harmful in real performance, and I wonder how much is accuracy directly transferrable to actually good drafting. A question, when GPT-4 contradicts in explanation, how much of them were in fact correct? |
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It was mostly when a card is good in a vacuum but not as good in a specific set. WOE (which this was trained on) skewed pretty aggressive, so GPT-4 was tended to overvalue strong expensive cards (compared to what good players thought at least).