https://feedx.net
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.
。雷电模拟器对此有专业解读
ABP builds on the incredible work of the Chromium team. We're grateful for their commitment to open source. This fork was created with the assistance of Claude Code.
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