雙語新聞：人工智能模型如何應(yīng)對(duì)氣候變化
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）模型已為世人所熟知。這些 "基礎(chǔ)模型 "引發(fā)了全球?qū)θ斯ぶ悄艿臒崆楹团d趣。下一步是針對(duì)特定行業(yè)的人工智能模型，可以為特定行業(yè)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.
這些模型還可用于應(yīng)對(duì)氣候變化等發(fā)展挑戰(zhàn)。例如，人工智能驅(qū)動(dòng)的解決方案 "Agrepreneur "開發(fā)了一個(gè)人工智能驅(qū)動(dòng)的農(nóng)業(yè)金融技術(shù)平臺(tái)，為小農(nóng)提供農(nóng)場管理方面的實(shí)時(shí)建議，包括如何優(yōu)化可用資源和預(yù)防作物疾病。該平臺(tái)還利用機(jī)器學(xué)習(xí)算法評(píng)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.
機(jī)器學(xué)習(xí)還用于預(yù)測農(nóng)民種植作物所需的農(nóng)業(yè)投入數(shù)量，以便他們簡化采購流程。
"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 "是另一個(gè)人工智能驅(qū)動(dòng)的解決方案。它可以通過語音通話，讓農(nóng)民即使在網(wǎng)絡(luò)連接有限或沒有網(wǎng)絡(luò)連接的地區(qū)也能獲得可持續(xù)農(nóng)業(yè)實(shí)踐方面的指導(dǎo)。自然語言理解技術(shù)和預(yù)先訓(xùn)練好的大型語言模型，以及語音轉(zhuǎn)文本和文本轉(zhuǎn)語音功能，使農(nóng)民能夠從應(yīng)用程序中獲得關(guān)鍵信息。
"ClimateGPT" is another example. It was trained on interdisciplinary research to provide users with a holistic understanding of climate change.
"ClimateGPT "是另一個(gè)例子。它是在跨學(xué)科研究的基礎(chǔ)上訓(xùn)練出來的，為用戶提供對(duì)氣候變化的整體理解。
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.
針對(duì)特定部門的人工智能模型對(duì)亞太地區(qū)尤其有用，因?yàn)闅夂蜃兓瘜?dǎo)致的極端天氣事件對(duì)該地區(qū)極為脆弱。用戶還可以創(chuàng)建一個(gè)小型模型，告知他們特定地區(qū)在特定時(shí)間發(fā)生洪水或干旱的幾率。
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.
人工智能可以作為一種力量倍增器，供發(fā)展機(jī)構(gòu)在工作中使用。在氣候變化方面，針對(duì)具體部門的人工智能模型可用于加快氣候行動(dòng)的進(jìn)展，適應(yīng)不斷變化的氣候以解決適應(yīng)方面的當(dāng)代問題，并反映氣候變化對(duì)整個(gè)地球的總體影響。
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.
根據(jù)模型的不同，該技術(shù)可用于顯示全球趨勢，也可進(jìn)行定制，以便對(duì)為一個(gè)國家開發(fā)的模型進(jìn)行調(diào)整，供其他國家使用。擁有這些模型可能是氣候適應(yīng)力和脆弱性之間的區(qū)別。
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.
在我們利用人工智能的潛力時(shí)，應(yīng)對(duì)氣候變化等共同挑戰(zhàn)的專門模型為我們提供了一條充滿希望的前進(jìn)道路。如果得到開發(fā)，這些模型將成為人工智能解決方案的一個(gè)重要方面，為地球的可持續(xù)性和復(fù)原力開辟新的道路。
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