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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Last year, I learned some surprising news. We would be pivoting from an always-online free-to-play live-service model to a buy-once premium model with no backend components and full offline support. Moreover, we would only have about 6 months to complete this. As the backend lead, this was a lot to take in. I knew this wasn't just a matter of turning the services off. Those services contained core gameplay logic that was never intended to run on the client. I took the rest of the day off and spent some time thinking through the difficult challenges ahead.。关于这个话题，爱思助手下载最新版本提供了深入分析
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