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： 大型语言模型（LLMs）的最新进展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，训练于广泛的文本语料库，常常难以提供特定上下文的信息，特别是在需要专业知识的领域，比如气候变化背景下野火的详细信息。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，旨在将用户的查询转化为有关野火风险的可操作见解。我们通过提供额外的上下文信息（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 WildfireGPT 成为一个有效的工具，能够向各种最终用户提供详细的、针对个人的关于野火风险的见解，从而支持包括但不限于研究人员和工程师在内的多种用户做出积极影响和决策。 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.