About this document

Efficient Code LLM Training Method by jijokad181 is a document available to read on EtoBox.

The document presents a novel approach for code data selection in large language models (LLMs) that emphasizes the importance of data quality over quantity. By utilizing a parametric model to ensure distribution consistency and diversity, the method significantly enhances training efficiency and model performance, achieving notable improvements with a smaller dataset. Experimental results demonstrate that this approach outperforms traditional sampling methods and reduces computational costs while maintainin

Author

jijokad181

Language

EN