A new dataset and a token-masked preference optimization loss reduce security vulnerabilities in LLM-generated Python code while preserving code quality.
Complete the following code : ```python [ PROMPT ]
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Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
A new dataset and a token-masked preference optimization loss reduce security vulnerabilities in LLM-generated Python code while preserving code quality.