"Fine-Tuning LLMs Compromises Their Safety, Study Finds"

A recent study by Princeton University, Virginia Tech, and IBM Research reveals that fine-tuning Large Language Models (LLMs) can weaken the safety measures designed to prevent the models from generating harmful content such as malware, illegal activity, and child abuse content. As LLMs continue to evolve, businesses are becoming increasingly interested in fine-tuning these models for custom applications. LLM providers offering features and easy-to-use tools for customizing models for specific applications fuel this trend. This article continues to discuss the practice of fine-tuning compromising LLM safety.

VB reports "Fine-Tuning LLMs Compromises Their Safety, Study Finds"

Submitted by grigby1