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"Warm models showed substantially higher error rates (+10 to +30 percentage points) than their original counterparts, promoting conspiracy theories, providing inaccurate factual information and offering incorrect medical advice. " rdcu.be/fgea6
1mo
Nature - Experiments on five different language models show that training language models to produce warmer responses can undermine the accuracy of their output, especially when users express...
rdcu.be
Training language models to be warm can reduce accuracy and increase sycophancy
Marieke van Vugt