Fine-Tuning LLMs: Amplifying Vulnerabilities and Risks
Published:Apr 11, 2024 23:54
•1 min read
•Hacker News
Analysis
The article suggests that fine-tuning Large Language Models (LLMs) can introduce or exacerbate existing security vulnerabilities. This is a crucial consideration for developers using and deploying LLMs, emphasizing the need for robust security testing during fine-tuning.
Key Takeaways
- •Fine-tuning LLMs can introduce new security vulnerabilities.
- •The process of fine-tuning may amplify existing LLM weaknesses.
- •Security testing is crucial during and after the fine-tuning process.
Reference
“Fine-tuning increases LLM Vulnerabilities and Risk”