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Nathan Lambert 是 Allen AI 研究所的科学家,博士毕业于加州大学伯克利分校,师从机器人领域的著名学者 Pieter Abbeel。他并非 RLHF 技术的发明者,但他写的《RLHF》这本开源书籍,如今是 AI 从业者理解大模型训练流程的标准参考材料之一。

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Massively parallel reporter assays across five cell types identify thousands of causal, noncoding regulatory variants among 220,000 loci, revealing diverse regulatory mechanisms shaping complex traits and disease.

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