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In this episode, we unpack how Netflix is using cutting-edge AI—similar to the tech behind ChatGPT—to power hyper-personalized recommendations. Discover how their new foundation model moves beyond traditional algorithms, blending massive data with NLP-inspired strategies like interaction tokenization and multi-token prediction. We also explore how this personalization revolution is reshaping customer expectations across industries, drawing on insights from marketing leaders like Qualtrics, Epsilon France, and Doozy Publicity. But with great AI power comes big questions: What about privacy, ethics, and the joy of unexpected discovery?
Based on original sources and developed with the help of Google’s NotebookLM.
🎧 Main source available here: https://netflixtechblog.com/foundation-model-for-personalized-recommendation-1a0bd8e02d39
 By Anlie Arnaudy, Daniel Herbera and Guillaume Fournier
By Anlie Arnaudy, Daniel Herbera and Guillaume FournierIn this episode, we unpack how Netflix is using cutting-edge AI—similar to the tech behind ChatGPT—to power hyper-personalized recommendations. Discover how their new foundation model moves beyond traditional algorithms, blending massive data with NLP-inspired strategies like interaction tokenization and multi-token prediction. We also explore how this personalization revolution is reshaping customer expectations across industries, drawing on insights from marketing leaders like Qualtrics, Epsilon France, and Doozy Publicity. But with great AI power comes big questions: What about privacy, ethics, and the joy of unexpected discovery?
Based on original sources and developed with the help of Google’s NotebookLM.
🎧 Main source available here: https://netflixtechblog.com/foundation-model-for-personalized-recommendation-1a0bd8e02d39