Category: AI Safety

RAG Can Make AI Models Riskier: New Research Shows a 30% Increase in Unsafe Outputs Introduction Retrieval-Augmented Generation (RAG) has emerged as a powerful technique to enhance the accuracy and relevance of AI models. By grounding AI’s responses in real-time, verifiable data, RAG promises to overcome the limitations of static, pre-trained models. However, recent findings…