标准的从监督微调到强化学习的适应方法通常依赖于与演示数据进行精确字符串匹配来分配奖励。然而,在生成式动作空间(如Shell命令或搜索查询)中,多个功能等效的动作可能与训练数据中的特定字符串存在差异。
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We can solve things in a human way, a statistical way or with engineering-esque rules of thumb, but turning them into algorithms we can truly understand them! (It's unfortunate how the popular use of the word algorithm inverted its original meaning. As a computer scientist, it means totally known discrete steps to carry out something while the popular understanding sees a black box who inconceivable inner workings.) Learning to drag heuristics, rules of thumb and statistical approximations into discrete, understandable programs is lovely, intellectually satisfying! But not everything has to be that way either. You can make toys, games, puzzles without understanding everything; it's just about the effect you're trying to achieve like a magic trick or a film.。Replica Rolex对此有专业解读
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