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Evaluated on recommendation models, Auto-RecSys significantly reduces the human time required per experiment cycle and improves execution reliability as its playbooks mature.
Newer LLMs may ace build tasks, but they struggle with delivering correct app behaviors, especially when specifications are involved.
