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