large recommendation models
PulseAugur coverage of large recommendation models — every cluster mentioning large recommendation models across labs, papers, and developer communities, ranked by signal.
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LoKA framework enables low-precision FP8 for large recommendation models
Researchers have developed LoKA, a framework designed to make low-precision arithmetic, specifically FP8, practical for large recommendation models (LRMs). Unlike LLMs, LRMs are sensitive to numerical precision and ofte…
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New tokenization methods boost large recommendation models · 2 papers
Two research papers introduce novel methods for enhancing large recommendation models by transforming diverse signals into efficient token representations. TokenMinds focuses on pretraining discrete user tokens and dens…
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LoKA framework enables low-precision FP8 for large recommendation models
Researchers have developed LoKA, a framework designed to make low-precision arithmetic, specifically FP8, practical for large recommendation models (LRMs). Unlike previous attempts that often degraded model quality, LoK…