The world is familiar with artificial intelligence (AI) models such at ChatGPT. These "foundation models" have triggered global excitement and interest in AI. A next step in this journey is sector-specific AI models that can be tailored for specific industries.
ChatGPT 等人工智能（AI）模型已为世人所熟知。这些 "基础模型 "引发了全球对人工智能的热情和兴趣。下一步是针对特定行业的人工智能模型，可以为特定行业量身定制。
Such models can also be used to address development challenges such as climate change. For example, an AI-driven solution, "Agrepreneur", has developed an AI-powered agri-fintech platform that provides real-time advice to smallholder farmers on farm management, including how they could optimize available resources and prevent crop disease. It also uses machine learning algorithms to assess creditworthiness.
这些模型还可用于应对气候变化等发展挑战。例如，人工智能驱动的解决方案 "Agrepreneur "开发了一个人工智能驱动的农业金融技术平台，为小农提供农场管理方面的实时建议，包括如何优化可用资源和预防作物疾病。该平台还利用机器学习算法评估信用度。
Machine learning is also used to forecast the amount of farm inputs farmers will need for their crops so they can streamline their procurement processes.
机器学习还用于预测农民种植作物所需的农业投入数量，以便他们简化采购流程。
"Viamo" is another AI-driven solution. It is available via voice calls, allowing farmers even from areas with limited or no internet connection to get guidance on sustainable agriculture practices. Natural language understanding techniques and a pre-trained large language model, along with speech-to-text and text-to-speech features, are used to enable the farmers to get critical information from the app.
"Viamo "是另一个人工智能驱动的解决方案。它可以通过语音通话，让农民即使在网络连接有限或没有网络连接的地区也能获得可持续农业实践方面的指导。自然语言理解技术和预先训练好的大型语言模型，以及语音转文本和文本转语音功能，使农民能够从应用程序中获得关键信息。
"ClimateGPT" is another example. It was trained on interdisciplinary research to provide users with a holistic understanding of climate change.
"ClimateGPT "是另一个例子。它是在跨学科研究的基础上训练出来的，为用户提供对气候变化的整体理解。
Sector-specific AI models can be particularly useful for Asia and the Pacific region, which is highly vulnerable to extreme weather events due to climate change. Users can also go small by creating a model that informs them of the chances of flooding or drought in a specific area at a given time.
针对特定部门的人工智能模型对亚太地区尤其有用，因为气候变化导致的极端天气事件对该地区极为脆弱。用户还可以创建一个小型模型，告知他们特定地区在特定时间发生洪水或干旱的几率。
AI can serve as a force multiplier that development institutions can use in their work. In the context of climate change, sector-specific AI models can be used to accelerate progress on climate action, adapt to the changing climate to resolve contemporary issues in adaptation, and reflect the overall impact of climate change across the planet.
人工智能可以作为一种力量倍增器，供发展机构在工作中使用。在气候变化方面，针对具体部门的人工智能模型可用于加快气候行动的进展，适应不断变化的气候以解决适应方面的当代问题，并反映气候变化对整个地球的总体影响。
Depending on the model, the technology can be used to show global trends, or customized so that one developed for one country can be adjusted for use in other countries. Having these models could be the difference between climate resilience and vulnerability.
根据模型的不同，该技术可用于显示全球趋势，也可进行定制，以便对为一个国家开发的模型进行调整，供其他国家使用。拥有这些模型可能是气候适应力和脆弱性之间的区别。
As we harness AI's potential, specialized models to address common challenges such as climate change offer a promising path forward. If developed, these models could be a critical aspect of the AI solutions that set a new course for planetary sustainability and resilience.
在我们利用人工智能的潜力时，应对气候变化等共同挑战的专门模型为我们提供了一条充满希望的前进道路。如果得到开发，这些模型将成为人工智能解决方案的一个重要方面，为地球的可持续性和复原力开辟新的道路。
