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This document provides a comprehensive survey of algorithmic advancements aimed at enhancing the efficiency of Large Language Models (LLMs), which are crucial for the development of artificial general intelligence. It covers various aspects of efficiency including scaling laws, data utilization, architectural innovations, and training strategies, while addressing the computational and memory challenges posed by LLMs. The survey serves as a valuable resource for researchers and practitioners, laying the grou
- Author
- JWHC CORUMANA PROJECT
- Language
- EN