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.
Constraints instructions. Step-by-step prompting ("do A, then B, then C") is increasingly outdated. In my experience, defining boundaries works better than giving checklists, because agents fixate on the list and ignore anything not on it. The better prompt is "here's what I want, work on it until you pass all these tests."
。Snipaste - 截图 + 贴图对此有专业解读
But Georgetown University researcher Ning Leng said China's growth figures should be taken with "a grain of salt", as other data suggests a weaker economic picture.
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