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By making environment design a learnable process, SPADE unlocks a new frontier in self-improvement for language agents, leading to substantial performance gains across diverse tasks.
Serverless computing slashes RLHF costs by up to 45% while boosting speed by 35%, thanks to a new framework that dynamically scales resources and avoids redundant computation.