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conda activate ds2_py311
scp -r yuanyi@192.168.1.4:/home/yuanyi/DS2/LLM_scoring/scoring.sh /mnt/c/users/zhangy85/Desktop/
export AZURE_OPENAI_KEY="8EHOOtsZ2OugjLJCbB5mMjigc24DMl8TkExITvoQJQVEY2T1hsA4JQQJ99BGAC4f1cMXJ3w3AAABACOG1Myz"
export AZURE_OPENAI_ENDPOINT="https://dsproblema.openai.azure.com/"
先降噪
去整, choosen和reject 丢到里面, 算一下noisy和transition matrix
figure3的图 correlated score
先只对choosen弄图, 再弄reject的图, 最后结合两个一起算
应该是对角线全是1的matrix
先看看数据比例, 看看要不要 merge 数据. 看看merge成几类比较合适, 都试试
conda activate ds2
conda activate ds2_py311
scp -r yuanyi@192.168.1.4:/home/yuanyi/DS2/LLM_scoring/scoring.sh /mnt/c/users/zhangy85/Desktop/
export AZURE_OPENAI_KEY="8EHOOtsZ2OugjLJCbB5mMjigc24DMl8TkExITvoQJQVEY2T1hsA4JQQJ99BGAC4f1cMXJ3w3AAABACOG1Myz"
export AZURE_OPENAI_ENDPOINT="https://dsproblema.openai.azure.com/"
先降噪
去整, choosen和reject 丢到里面, 算一下noisy和transition matrix
figure3的图 correlated score
先只对choosen弄图, 再弄reject的图, 最后结合两个一起算
应该是对角线全是1的matrix
先看看数据比例, 看看要不要 merge 数据. 看看merge成几类比较合适, 都试试
conda activate ds2
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