Integrating Netflix's Foundation Model into Personalization Applications

Divya Gadde, Ko-Jen Hsiao, Dhaval Patel, and Moumita Bhattacharya walk through the three different ways Netflix integrated a single foundation model into multiple personalization surfaces, embeddings, subgraph, and fine-tuning, rather than training a bespoke model per use case. It's a practical answer to a question a lot of teams are facing right now: once you have one strong foundation model, how do you actually plug it into existing product surfaces without rebuilding everything downstream? The tradeoffs they lay out between the three integration patterns are transferable well beyond recommendation systems.

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