计算机科学
领域(数学分析)
领域特定语言
数据科学
软件工程
数学
数学分析
作者
Qimin Yang,Jiexin Chen,Yue Sun,Yapeng Wang,Tao Tan
标识
DOI:10.21037/qims-2024-2655
摘要
The composition and quantity of data for model fine-tuning actually affect the model's ability to understand context in downstream tasks. The balance between the model's expertise and context understanding depends on the rationality of the fine-tuning data.
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