This DFKI technical report presents the anatomy of the No-IDLE prototype system (funded by the German Federal Ministry of Education and Research) that provides not only basic and fundamental research in interactive machine learning, but also reveals deeper insights into users' behaviours, needs, and goals. Machine learning and deep learning should become accessible to millions of end users. No-IDLE's goals and scienfific challenges centre around the desire to increase the reach of interactive deep learning solutions for non-experts in machine learning. One of the key innovations described in this technical report is a methodology for interactive machine learning combined with multimodal interaction which will become central when we start interacting with semi-intelligent machines in the upcoming area of neural networks and large language models.

翻译：本DFKI技术报告剖析了由德国联邦教育与研究部资助的No-IDLE原型系统架构。该系统不仅为交互式机器学习提供了基础性研究，更深入揭示了用户行为、需求与目标的内在机制。本报告旨在推动机器学习与深度学习技术向数百万终端用户普及。No-IDLE的核心目标与科学挑战聚焦于拓展交互式深度学习解决方案对非机器学习专业人员的覆盖范围。报告阐述的关键创新在于将交互式机器学习与多模态交互相结合的方法论——这一方法论将在即将到来的神经网络与大型语言模型时代，成为人类与半智能机器交互的核心技术支柱。