Coral: An LLM-Native Harness for Production Recommender Systems
Coral is an LLM-native harness that enables continuous optimization of recommender systems.
Coral is an LLM-native harness that enables continuous optimization of recommender systems. Traditional methods allow engineers to test changes slowly and reactively, while Coral automates this process through a closed-loop agent. A/B tests on two large social platforms demonstrate that this system increases user engagement while reducing costs.
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