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To solve that problem, Google researchers used Gemini — Google’s large language model — to sort through 5 million news articles from around the world, isolating reports of 2.6 million different floods, and turning those reports into a geo-tagged time series dubbed “Groundsource.” It’s the first time that the company has used language models for this kind of work, according to Gila Loike, a Google Research product manager. The research and data set was shared publicly Thursday morning.。关于这个话题，WhatsApp Web 網頁版登入提供了深入分析
HSBC, Nationwide and Coventry building societies are the first big UK lenders to announce an increase in rates on their fixed mortgage deals as a result of the Middle East crisis, with brokers predicting others are likely to follow.