Can Benign Data Undermine AI Safety? This Paper from Princeton University Explores the Paradox of Machine Learning Fine-Tuning
Safety tuning is important for ensuring that advanced Large Language Models (LLMs) are aligned with human values and safe to deploy. Current LLMs, including those tuned for safety and alignment, are susceptible to jailbreaking. Existing […]
