基于大语言模型的翻译AI智能体项目的构建与应用  

Construction and application of translation AI agent project based on large language model

作　　者：林美蓉 Lin Meirong(Hainan Vocational University of Science and Technology,Haikou 570203,China)

机构地区：[1]海南科技职业大学,海南海口570203

出　　处：《无线互联科技》2024年第7期42-45,共4页Wireless Internet Technology

摘　　要：文章基于大语言模型和ZeLinAI平台进行了翻译AI智能体的构建和应用。其核心在于通过优化提示词和精准投喂训练集,提升机器翻译的准确性和流畅性。项目对现有的翻译模型进行深入分析,围绕提示词设计优化,动态调整以适应不同语境,增强模型对翻译内容的敏感度。文章通过制定策略选择性地投喂高质量语料,有效引导模型学习特定的语言风格和行业术语,提高其在专业领域的翻译效果。经过测试,该翻译AI智能体在翻译任务中具有优越的性能表现,为机器翻译领域带来新的应用场景。Based on the large language model and ZeLinAI platform,this study constructs and applies translation AI agents,the core of which is to improve the accuracy and fluency of machine translation by optimizing prompt words and precision feeding training sets.The project first conducted an in-depth analysis of the existing translation model,optimized the design around prompt words,dynamically adjusted to adapt to different contexts,and enhanced the sensitivity of the model to the translation content.At the same time,through the formulation of strategies to selectively feed high-quality corpus,it effectively guides the model to learn specific language styles and industry terms,and improves its translation effect in professional fields.After testing,the translation AI agent has superior performance in translation tasks,bringing new application scenarios to the field of machine translation.

关 键 词：大语音模型 翻译 AI智能体 提示词 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]