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GPT模型发展视角下笔迹分析面临的挑战与机遇

Challenges and Opportunities for Handwriting Analysis from the Perspective of GPT Model Development
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摘要 GPT模型(Generative Pre-trained Transformer)是由OpenAI公司开发的一系列自然语言处理模型,采用多层Transformer结构来预测下一个词组的概率分布,通过在大型文本语料库中学习到的语言模型来生成自然语言文本。2023年3月15日OpenAI公司发布了GPT-4,多模态模型的推出吸引了世界各行业的高度关注,堪称人工智能时代里程碑式的事件。目前,笔迹行业关于该模型的研究尚少,本文首先介绍了GPT模型的特点和发展趋势,然后结合笔迹行业的发展现状探究了GPT模型未来会带来哪些挑战和机遇,最后针对GPT模型的利弊,分析了该技术对笔迹分析未来会产生的影响,强调了司法部门、鉴定机构、鉴定人要给予人工智能宽松的环境,在合理使用的同时注意风险的防控。 The Generative Pre-trained Transformer(GPT)is a set of natural language processing models developed by OpenAI,a multi-layered Transformer structure is used to predict the probability distribution of the next phrase,and a language model learned in a large Corpus linguistics is used to generate natural language text.On March 15,OpenAI 2023 GPT-4,a multi-modal model that has captured the attention of industries around the world and is a milestone in the age of artificial intelligence.At present,there is little research on GPT model in handwriting industry.This paper first introduces the characteristics and development trend of GPT model,then combined with the development of handwriting industry to explore what challenges and opportunities GPT model will bring in the future,finally,according to the advantages and disadvantages of GPT model,the influence of CPT technology on handwriting analysis in the future is analyzed,pay attention to the risk prevention and control while using reasonably.
作者 徐寅杰 沙万中 Xu Yin-jie;Sha Wan-zhong(Gansu University of political science and law,Lanzhou,Gansu,730070 China)
机构地区 甘肃政法大学
出处 《西部公安论坛》 2023年第3期57-62,共6页 Journal of Western Public Security
关键词 笔迹检验 GPT模型(Generative Pre-trained Transformer) 笔迹分析 Handwriting testing Generative pre-trained transformer Handwriting analysis
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