Srivaths Ranganathan

LLM-powered multi-agent architectures are poised to revolutionize video recommendation by enabling precise, explainable, and adaptive recommendations that surpass the limitations of static, single-model systems.

You can boost ranking model performance in low-traffic recommendation systems by directly distilling knowledge from a large-scale, but different, domain like video recommendations.