Large Language Models (LLMs) and, more specifically, the Generative Pre-Trained Transformers (GPT) can help stakeholders in climate action explore digital knowledge bases and extract and utilize climate action knowledge in a sustainable manner. However, LLMs are "probabilistic models of knowledge bases" that excel at generating convincing texts but cannot be entirely relied upon due to the probabilistic nature of the information produced. This brief report illustrates the problem space with examples of LLM responses to some of the questions of relevance to climate action.

翻译：大型语言模型（LLM），特别是生成式预训练Transformer（GPT），能够帮助气候行动领域的利益相关者探索数字知识库，并以可持续方式提取和利用气候行动知识。然而，LLM作为"知识库的概率模型"，在生成令人信服的文本方面表现出色，但由于所产生信息的概率性质，无法完全依赖。这份简短报告通过列举LLM对若干气候行动相关问题的回答实例，说明了该问题域的具体表现。