Textual Inversion is a technique used in machine learning, particularly in generative models like text-to-image diffusion model, to teach an AI system new visual or conceptual information by associating it with a new custom token.
The Alignment Problem in artificial intelligence (AI) ensures that an AI system’s goals, behaviors, and outputs align with human values, intentions, and expectations.
