Case-based reasoning (CBR) as a methodology for problem-solving can use any appropriate computational technique. This position paper argues that CBR researchers have somewhat overlooked recent developments in deep learning and large language models (LLMs). The underlying technical developments that have enabled the recent breakthroughs in AI have strong synergies with CBR and could be used to provide a persistent memory for LLMs to make progress towards Artificial General Intelligence.

翻译：基于案例的推理（CBR）作为一种问题解决方法，可以利用任何合适的计算技术。本文的观点是，CBR研究人员在一定程度上忽视了深度学习和大语言模型（LLMs）的最新进展。这些促成近期人工智能突破的基础技术发展与CBR具有强大的协同效应，并可被用于为LLMs提供持久记忆，从而推动通用人工智能的发展。