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“xaxwaswas17777777K9o75OxSL”-知识课堂

天文大语言模型xaxwaswas17777777K9o75OxSLAstroOne发布 加速解码“天籁之声”

来源: 珊珊来了
2024-11-01 03:22:35

最佳回答

“xaxwaswas17777777K9o75OxSL”天文大语言模型xaxwaswas17777777K9o75OxSLAstroOne发布 加速解码“天籁之声”

  中新xaxwaswas17777777K9o75OxSL网杭州10月31日电(鲍梦妮)xaxwaswas17777777K9o75OxSL据之江实验室10月31日消息,之江实验室联合中国科学院国家天文台共同打造的天文大语言模型AstroOne于近日发布。该模型拥有700亿参数、320亿tokens文本语料,历经1万道天文学评测数据集的测评。

  “传统天文研究亟需人工智能技术赋能,以突破天文数据处理困境。”中国科学院国家天文台台长、党委副书记刘继峰表示,“天文学界常说‘以天之语,解物之道’,但‘天籁之声’非常嘈杂,信息量巨大,处理每年产生的百PB量级天文数据是一个难题。”

发布现场。 之江实验室供图

  据了解,AstroOne能够为天文研究提供强有力的辅助,可快速检测研究中的潜在错误、数据异常或逻辑矛xaxwaswas17777777K9o75OxSL盾,减少人为疏漏;能从海量文献中提取和核对信息,辅助验证假设和结果的可靠性;实现跨学科知识推理与整合,帮助天文科学家突破知识边界、启发创新灵感,生成富有想象力的研究假设。

  智能时代,计算从辅助性的工具变成了重要的创新引擎,正在全面变革科技创新的模式。此背景下,今年5月起,之江实验室和中国科学院国家天文台共同举办“天文大模型培训班”(以下简称“天文班”),通过封闭式科研攻关实训,培养“AI+天文”复合型人才。在天文班,计算背景和天文背景的学员相互协作,成功开发出天文大语言模型AstroOne。

  “我们的优势在于理论和观测,有很多天文数据,同时能够为计算提供天文的想法和知识,但缺乏大模型方面的经验。双方合作能够取长补短,效率更高。”天文班学员、中国科学院国家天文台博士陈孝钿说。

  此外,双方还合作打造了一个天文图文模型和四个天文学专业领域模型——用于快速捕捉极端瞬变源的Falco、进行恒星普查的SpecClip、精确预测太阳活动的SolarGPT以及实时识别GRBs等高能瞬变源的GRBs X射线探测模型。

  “这只是一个起步,AI+天文还有很多事情要做。我们将持续深化合作,加强资源共享,推进学科交叉融合和科学数据开放共享,推动科研范式变革。”之江实验室党委副书记赵新龙表示。(完)

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