标题： WildfireGPT：用于野火分析的定制大型语言模型 显示英文标题

标题： WildfireGPT: Tailored Large Language Model for Wildfire Analysis

摘要： 近期大型语言模型（LLMs）的进步代表了人工智能前沿的一项变革性能力。然而，LLMs是通用模型，经过广泛的文本语料库训练，往往难以提供特定上下文的信息，特别是在需要专门知识的领域，比如在气候变化的大背景下关于野火的详细信息。 对于专注于野火韧性和适应性的决策者来说，获得不仅精确而且领域特定的响应至关重要。 为此，我们开发了WildfireGPT，这是一种原型LLM代理，旨在将用户查询转化为关于野火风险的实际见解。 我们通过提供额外的上下文，如气候预测和科学文献，来丰富WildfireGPT，以确保其信息是最新的、相关的且科学准确的。 这使得WildfireGPT能够成为一种有效的工具，为用户提供详细的、特定于用户的关于野火风险的见解，以支持包括但不限于研究人员和工程师在内的多样化终端用户，从而产生积极影响并辅助决策。 显示英文摘要

摘要： Recent advancement of large language models (LLMs) represents a transformational capability at the frontier of artificial intelligence. However, LLMs are generalized models, trained on extensive text corpus, and often struggle to provide context-specific information, particularly in areas requiring specialized knowledge, such as wildfire details within the broader context of climate change. For decision-makers focused on wildfire resilience and adaptation, it is crucial to obtain responses that are not only precise but also domain-specific. To that end, we developed WildfireGPT, a prototype LLM agent designed to transform user queries into actionable insights on wildfire risks. We enrich WildfireGPT by providing additional context, such as climate projections and scientific literature, to ensure its information is current, relevant, and scientifically accurate. This enables WildfireGPT to be an effective tool for delivering detailed, user-specific insights on wildfire risks to support a diverse set of end users, including but not limited to researchers and engineers, for making positive impact and decision making.