agent 就是你写的那段程序,trainer 就是一个 actor,reward 是你在 Env 或 ChatAgent 里随手写的任意 Python。剩下的活儿三个大件全包了。README 里反复强调一个数字:大约 8600 行 RL 代码(推文里说的 9K 是个约数),却能撑到 1T 级别的 MoE。 OpenRLHF 的 ...
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