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LoKA: Low-precision Kernel Applications for Recommendation Models At Scale

The LoKA framework introduces low-precision FP8 kernels tailored to the numerical sensitivities and communication demands of large-scale recommendation models.

Impact
45/100
Current rank score
22.35
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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