Enhancing AI Interpretability Through Localised Architectures
Abstract Recent advances in generative AI, especially powerful Large Language Models (LLMs), raise concerns over the interpretability, safety and sustainability of these large and opaque AI models. The power of such architectures is derived not only from the scalability of deep neural networks (DNNs), but also massivel...
Ian Seet, Jonas Bozenhard, Simon Ostermann
· Lecture notes in computer sc... · 0 citations