Multi Skill

Multi-skill dialogue systems aim to create conversational agents capable of handling diverse interaction styles and tasks within a single conversation. Current research focuses on developing generalizable frameworks that leverage large-scale datasets and pre-trained models, often incorporating transformer-based architectures like BERT and GPT, to achieve proficiency across various dialogue scenarios (e.g., knowledge-grounded, persona-based). These advancements are significant for improving human-computer interaction and enabling more sophisticated and versatile applications of conversational AI.