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The paper introduces CERSA, a novel parameter-efficient fine-tuning method that uses singular value decomposition to retain principal components, significantly reducing memory usage while outperforming existing methods like LoRA.
Kaizen is a training platform that dynamically adapts running workouts based on user performance and activity data.
OpenAI researchers develop meta-learning agents that continuously adapt their policies during multi-round competitive games, demonstrating superior performance compared to fixed-policy agents and robustness to environmental and bodily changes.