🧑💻 AI/ML Engineer
🔍 Building Search/Recommendation/Advertising systems by day, exploring Quant Finance by night
🌱 Taking small steps each day to get better at my craft
🎯
Focusing
🧠 Passionate about solving real-world problems with models, data and code.
- University of Auckland
- Auckland
-
13:23
(UTC +12:00) - in/ping-cheng-431769330
Highlights
- Pro
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- generative-recommenders
generative-recommenders PublicForked from meta-recsys/generative-recommenders
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Python
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