大语言模型核心架构演进态势分析

doi:10.12267/j.issn.2096-5931.2024.12.003

摘要/Abstract

摘要：

体系化梳理分析了基于Transformer架构的重要创新方向,从Transformer自身架构创新、与其他架构融合创新以及非Transformer算法创新3个维度分析了大语言模型算法演进态势,就未来大模型发展方向进行展望。

关键词: 大模型架构, Transformer, 注意力机制, 架构创新

Abstract:

This paper systematically reviews and analyzes the significant innovation directions based on the Transformer architecture. It examines the evolution of large language model architecture from three dimensions: innovation within the Transformer architecture itself, fusion innovation with other architectures, and innovations in non-Transformer architecture. This paper also provides an outlook on the future development directions of foundation models.

Key words: large model architecture, Transformer, attention mechanism, architectural innovation

中图分类号:

TP183

王蕴韬. 大语言模型核心架构演进态势分析[J]. 信息通信技术与政策, 2024, 50(12): 13-20.

WANG Yuntao. Analysis of large language model architecture evolution[J]. Information and Communications Technology and Policy, 2024, 50(12): 13-20.

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链接本文:

http://ictp.caict.ac.cn/CN/10.12267/j.issn.2096-5931.2024.12.003

http://ictp.caict.ac.cn/CN/Y2024/V50/I12/13

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