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大型语言模型的工业应用

Mubashar Raza¹, Zarmina Jahangir², Muhammad Bilal Riaz^3,4

¹Department of Computer Science, COMSATS University, Sahiwal Campus, Islamabad, Pakistan.

Scientific reports

|April 21, 2025

概括

大型语言模型 (LLM) 是先进的AI系统,通过其文本生成来改变行业. 本研究分析了LLM的演变,应用和研究人员面临的挑战.

科学领域:

人工智能的人工智能
自然语言处理 (Natural Language Processing) 是一种自然语言处理.

背景情况:

大型语言模型 (LLM) 是人工智能驱动的计算模型,擅长理解和生成类似人类的文本.
变压器架构的出现显著增强了LLM的能力,推动了行业的广泛采用.
课程使用数十亿的培训参数来识别复杂的语言模式,在各种自然语言处理 (NLP) 任务中表现出色.

研究的目的:

为大型语言模型 (LLM) 提供全面的分析.
探索LLMs在各个行业的演变和多样化的应用.
为研究人员提供关于法学士的变革潜力和局限性的见解.

主要方法:

关于LLM演变和应用的综合文献综述.
对LLM跨部门影响的分析,包括医疗保健,汽车,教育和金融.
检查与LLM部署相关的挑战,如道德问题和计算要求.

主要成果:

法律法规正在自动化任务,提高准确性,并在多个行业中提供更深入的见解.
关键应用包括疾病诊断,个性化治疗计划,预测性维护,欺诈检测和个性化学习.
通过LLM的文本生成和NLP能力,正在取得重大进展.

结论:

法律学士课程代表了人工智能的重大进步,在各个行业提供了变革性的潜力.
解决道德问题,数据偏差和资源需求对于可持续和公正的LLM部署至关重要.
对LLM能力和局限性的进一步研究对于最大限度地发挥其益处至关重要.

关键词:

在法律上,LLMs.大型语言模型在NLP中,我们使用了NLP.变压器变压器变压器

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