Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

This is a Plain English Papers summary of a research paper called Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter.

Overview

• The paper introduces a new approach for generative recommendations called "Actions Speak Louder than Words" (ASLW), which utilizes trillion-parameter sequential transducers.


• ASLW aims to improve upon traditional deep learning recommendation models (DLRMs) by treating recommendation …

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