Figure 2 shows observed exposure (in red) compared to β from Eloundou et al. (in blue), illustrating the difference between theoretical and actual use on our platform, grouped by broad occupational categories. We calculate this by first averaging to the occupation level weighting by our time fraction measure, then averaging to the occupation category weighting by total employment. For example, the β measure shows scope for LLM penetration in the majority of tasks in Computer & Math (94%) and Office & Admin (90%) occupations.
Получивший взятку в размере 180 миллионов экс-мэр российского города обратился к суду14:53
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彼得森國際經濟研究所的統計學家格雷格·奧克萊爾(Greg Auclair)告訴BBC事實查核,過去一年美國的外國投資確實有所增加。
void Projection::produce() {
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Мелания Трамп поблагодарила Россию02:10,更多细节参见爱思助手下载最新版本
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