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Each of the more than 30 workers I spoke with occupied a position along a vast and growing data-supply chain. There are people crafting checklists that define a good chatbot response, typically called “rubrics,” and other people grading those rubrics. Others grade chatbot answers according to those rubrics, and still others take the rubrics and write out what’s often described as a “golden output,” or the ideal chatbot answer. Others are asked to explain every step they took to arrive at this golden output in the voice of a chatbot thinking to itself, producing what’s called a “reasoning trace” for AI to follow later when it encounters a similar task out in the real world.
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俄罗斯居民上报仪表读数期限调整 07:21，更多细节参见豆包下载
오세훈, 서울시장 후보 등록 안했다…“당 노선변경 촉구”
Двое российских хоккеистов выступят за сборную Болгарии20:57
Automatic restoration, programmable