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LLM agents can now learn from their mistakes and successes in complex tasks, improving performance by up to 28.5% by extracting and applying structured learnings from past execution trajectories.
LLMs calling tools get a 36% accuracy boost by reflecting on execution errors and retrieving relevant troubleshooting docs, not just official documentation.
