A new technical paper titled "QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design" was published by researchers at University of California San Diego and San Diego State University.
Abstract
"Deploying Small Language Models (SLMs) on edge platforms is critical for real-time, privacy-sensitive generative AI, yet constrained by memory, ...
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