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Results show that a single jointly trained model can replace a mature multi-stage recommendation cascade while improving recommendation quality on live traffic.
Gryphon-v2, a unified generate-and-rank architecture for end-to-end recommendation, and results support the practical viability of a generative retriever with a Ranking Module distilled from the Teacher Ranker as an end-to-end alternative to a production cascade.
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