Can We Optimize Large Language Models More Efficiently? Check Out this Comprehensive Survey of Algorithmic Advancements in LLM Efficiency

Can We Optimize Large Language Models More Efficiently? A research team consisting of researchers from multiple organizations like Microsoft, the University of Southern California, and Ohio State University deliver a thorough review of algorithmic advancements targeting the efficiency enhancement of LLMs and encompassing scaling laws, data utilization, architectural innovations, training strategies, and inference techniques. The […]

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