Researchers at Inha University have demonstrated a new method for personalizing generative artificial intelligence without the need for additional training or creating individualized models. Led by Professor Seo Young-deok of the Electrical and Computer Engineering department, the team’s work presents a potential solution to the resource-intensive process of adapting AI to specific user preferences. The innovation allows for on-the-fly personalization, responding to individual prompts with tailored outputs. This approach bypasses the typical requirement of retraining AI models with new datasets for each user or application. The research suggests a more efficient and scalable path toward widely accessible, customized AI experiences. Details of the findings were released by Yonhap News Agency.