Safety

Safety in the context of Large Language Models (LLMs) refers to ensuring that these models do not produce harmful, misleading, or unethical outputs across various application scenarios. The core objective is to systematically evaluate and optimize the models to enhance their reliability and controllability, protect user data privacy and security, and uphold social ethical standards. In practical applications, safety can effectively reduce risks, increase user trust, and promote the healthy development and widespread use of the technology.