#safety risks

Large language models, while successful, face risks from adversarial jailbreaks affecting their safety. DeepInception offers a novel, less resource-intensive method, inspired by the Milgram experiment, to bypass usage controls via personification and nested scenes. This approach highlights vulnerabilities in various LLMs, underlining the need for enhanced safety measures.