Abstract:

This paper takes corporate terminology from Xiaomi as an example to explore the application of large language models in tasks like corporate terminology extraction.Through experiments,the paper analyzes the ability of available large models in extracting corporate terminology,attempting to enhance their adaptability to corporate terms by methods like optimizing prompt words and fine-tuning models.The experimental results show that designing appropriate prompts can significantly improve the accuracy of corporate terminology extraction,so does fine-tuning,providing valuable practical experience for related tasks.The research also offers actionable insights and methods for the application of large models in knowledge management of enterprises.

Key words: large language models, corporate terminology extraction, prompt engineering