Safety Alignment

Safety Alignment refers to the technical process in natural language processing that ensures a model's behavior is consistent with human values and ethical norms. Its core objective is to systematically reduce the potential harmful outputs of the model, enhancing its reliability and safety. In practical applications, Safety Alignment can effectively prevent the model from generating misleading, biased, or illegal information, thereby increasing user trust in AI systems and promoting the healthy development and broad application of AI technology.