Evaluating the Security Implications of Limited Training Data in Large Language Models
A research project explores the effects of restricting training data to only fifth-grade level material on the capabilities and potential vulnerabilities of large language models (LLMs). There is no evidence of active exploitation. Security professionals should assess the implications of such limitations on LLMs' security and reliability.