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08-20

$Faraday Future(FFIE)$ 这么无限接近零的手法拼夕夕都不如你。早点毁灭吧

08-09

$Faraday Future(FFIE)$ 贾骗子末日快到了

08-08

$Faraday Future(FFIE)$ 你们觉得手工耿一年可以敲出几台车？

08-05

$Faraday Future(FFIE)$ 你以为你是七姐妹么，还有脸跌。差不多该拉了，不然韭菜地都荒了。

07-16

$Faraday Future(FFIE)$ 哎呦呦，一毛钱诶。了不起[弱]

06-04

这个操作显然没啥自信

05-21

$Faraday Future(FFIE)$ 发疯了，上个交易日震幅137%，今天这会儿117% FF治好了多年的心脏病

05-18

$Faraday Future(FFIE)$ 又拔网线了

05-16

$Faraday Future(FFIE)$ 停牌了，已清仓

05-09

首先“地表最强”里的地表是指哪一块地？一会儿并行者一会儿又一较高下，请问较了没，那么何来最强？这逻辑实在看不太明白，不吹不会死

重大发布！阿里云宣布：全面赶超GPT-4！

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贾骗子末日快到了","images":[{"img":"https://static.tigerbbs.com/a62238ac909a0f42dac7d15a764a9a9b","width":"1170","height":"2012"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":9,"commentSize":3,"repostSize":0,"link":"https://laohu8.com/post/336697904627952","isVote":1,"tweetType":1,"viewCount":2061,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3481109623161534","authorId":"3481109623161534","authorIdStr":"3481109623161534","name":"wilsonyang","avatar":"https://static.tigerbbs.com/6693f841e96f4aaf3eff48d96e19be4c","crmLevel":6,"crmLevelSwitch":0},"content":"这个贾某人真的素质太差了，团队也是，天天规划，计划，说了不算，算了不说。本来可以好好地经营，纵整出幺蛾子。80合1的时候说的多好听，本来上了一元，非要80倍合股，说什么5元以上才能融资！哪呢？！现在合了几次了，钱呢？增发的额度悄声地低价发出去了，现在又要增发，血债血偿。","text":"这个贾某人真的素质太差了，团队也是，天天规划，计划，说了不算，算了不说。本来可以好好地经营，纵整出幺蛾子。80合1的时候说的多好听，本来上了一元，非要80倍合股，说什么5元以上才能融资！哪呢？！现在合了几次了，钱呢？增发的额度悄声地低价发出去了，现在又要增发，血债血偿。","html":"这个贾某人真的素质太差了，团队也是，天天规划，计划，说了不算，算了不说。本来可以好好地经营，纵整出幺蛾子。80合1的时候说的多好听，本来上了一元，非要80倍合股，说什么5元以上才能融资！哪呢？！现在合了几次了，钱呢？增发的额度悄声地低价发出去了，现在又要增发，血债血偿。"}],"imageCount":1,"langContent":"CN","totalScore":0},{"id":336234748313648,"gmtCreate":1723124936745,"gmtModify":1723124938304,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a 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你们觉得手工耿一年可以敲出几台车？","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":1,"repostSize":0,"link":"https://laohu8.com/post/336234748313648","isVote":1,"tweetType":1,"viewCount":506,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3516340331928883","authorId":"3516340331928883","authorIdStr":"3516340331928883","name":"从你的全世界路过摔了一跤","avatar":"https://static.tigerbbs.com/d0b405c7a64587f43d73918b8a31011f","crmLevel":1,"crmLevelSwitch":0},"content":"都不用手工耿，国内随便找个代工厂都能生产","text":"都不用手工耿，国内随便找个代工厂都能生产","html":"都不用手工耿，国内随便找个代工厂都能生产"}],"imageCount":0,"langContent":"CN","totalScore":0},{"id":335196238078096,"gmtCreate":1722867137761,"gmtModify":1722867139259,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a 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href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 哎呦呦，一毛钱诶。了不起[弱]&nbsp;&nbsp;","listText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 哎呦呦，一毛钱诶。了不起[弱]&nbsp;&nbsp;","text":"$Faraday Future(FFIE)$ 哎呦呦，一毛钱诶。了不起[弱]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/327838431494384","isVote":1,"tweetType":1,"viewCount":339,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":313228204273744,"gmtCreate":1717487400138,"gmtModify":1717487402413,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"这个操作显然没啥自信","listText":"这个操作显然没啥自信","text":"这个操作显然没啥自信","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/313228204273744","isVote":1,"tweetType":1,"viewCount":298,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":308015783415816,"gmtCreate":1716221066589,"gmtModify":1716221068045,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a 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又拔网线了","listText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 又拔网线了","text":"$Faraday Future(FFIE)$ 又拔网线了","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":2,"repostSize":0,"link":"https://laohu8.com/post/306923942248736","isVote":1,"tweetType":1,"viewCount":377,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":306517959577632,"gmtCreate":1715868057109,"gmtModify":1715869047318,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 停牌了，已清仓","listText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 停牌了，已清仓","text":"$Faraday Future(FFIE)$ 停牌了，已清仓","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/306517959577632","isVote":1,"tweetType":1,"viewCount":251,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":304027490308296,"gmtCreate":1715246905658,"gmtModify":1715246919382,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"首先“地表最强”里的地表是指哪一块地？一会儿并行者一会儿又一较高下，请问较了没，那么何来最强？这逻辑实在看不太明白，不吹不会死","listText":"首先“地表最强”里的地表是指哪一块地？一会儿并行者一会儿又一较高下，请问较了没，那么何来最强？这逻辑实在看不太明白，不吹不会死","text":"首先“地表最强”里的地表是指哪一块地？一会儿并行者一会儿又一较高下，请问较了没，那么何来最强？这逻辑实在看不太明白，不吹不会死","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/304027490308296","repostId":"2434057582","repostType":2,"repost":{"id":"2434057582","weMediaInfo":{"introduction":"致力于提供最及时的财经资讯，最专业的解读分析，覆盖宏观经济、金融机构、A股市场、上市公司、投资理财等财经领域。","home_visible":1,"media_name":"券商中国","id":"9","head_image":"https://static.tigerbbs.com/d482d56459984e8c86a6a137295b3c4f"},"pubTimestamp":1715244651,"share":"https://www.laohu8.com/m/news/2434057582?lang=&edition=full","pubTime":"2024-05-09 16:50","market":"hk","language":"zh","title":"重大发布！阿里云宣布：全面赶超GPT-4！","url":"https://stock-news.laohu8.com/highlight/detail?id=2434057582","media":"券商中国","summary":"通义大模型发布一周年之际，迎来重要的历史性时刻！5月9日，阿里云召开峰会，正式发布通义千问2.5，模型性能全面赶超GPT-4-Turbo，成为“地表最强”中文大模型。同时，通义千问1100亿参数开源模型在多个基准测评收获最佳成绩，超越Meta的Llama-3-70B，成为开源领域最强大模型。","content":"<html><head></head><body><p>通义大模型发布一周年之际，迎来重要的历史性时刻！</p><p style=\"text-align: justify;\">5月9日，阿里云召开峰会，正式发布通义千问2.5，模型性能全面赶超GPT-4-Turbo，成为“地表最强”中文大模型。同时，通义千问1100亿参数开源模型在多个基准测评收获最佳成绩，超越Meta的Llama-3-70B，成为开源领域最强大模型。</p><p style=\"text-align: justify;\">在峰会当日，原通义千问APP宣布更名为“通义APP”，将通义大模型全套能力集于一身，致力于成为“通情达义”的AI助手。</p><p><strong>最强中文大模型来了</strong></p><p style=\"text-align: justify;\">历经一年多追赶，国产大模型终于进入大模型核心竞技场，可与国外一流大模型企业一较高下。</p><p style=\"text-align: justify;\">从现实情况来看，大模型技术爆发一年多，行业竞争态势激烈而又多变。通义千问走了一条最“卷”的路，自2023年4月问世以来，始终专注于基础模型的技术研发，从初代模型升级至2.5版本。</p><p style=\"text-align: justify;\">相比上一版本，2.5版模型的理解能力、逻辑推理、指令遵循、代码能力分别提升9%、16%、19%、10%，中文能力更是持续领先业界。根据权威基准Open Compass的测评结果，通义千问2.5得分追平GPT-4-Turbo，是该基准首次录得国产大模型取得如此出色的成绩。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/e0b0219ddd1cd838025790ede07524d5\" alt=\"\" title=\"\" tg-width=\"1080\" tg-height=\"830\"/></p><p style=\"text-align: justify;\">同时，通义还发布了1100亿参数开源模型Qwen1.5-110B，该模型在MMLU、Theorem QA、GPQA等基准测评中超越了Meta的Llama-3-70B模型；在Hugging Face推出的开源大模型排行榜Open LLM Leaderboard上，Qwen1.5-110B冲上榜首，再度证明通义开源系列业界竞争力领先。</p><p style=\"text-align: justify;\">此外，通义在多模态模型和专有能力模型也具备业界顶尖影响力。在多个多模态标准测试中，通义千问视觉理解模型Qwen-VL-Max得分超越Gemini Ultra和GPT-4V，这款模型已在多家企业落地应用；通义千问代码大模型Code Qwen1.5-7B则是Hugging Face代码模型榜单Big Code的头号选手，这款模型是国内用户规模第一的智能编码助手通义灵码的底座。</p><p style=\"text-align: justify;\">从曾经的追赶者到如今的并行者，一年间，通义发展出了业界领先的文生图、智能编码、文档解析、音视频理解等能力，企业客户和开发者可以通过API调用、模型下载等方式接入通义，个人用户可从APP、官网和小程序免费使用通义。</p><p><strong>始终坚定开源路线</strong></p><p style=\"text-align: justify;\">据了解，通义是大模型开源最积极的推动者和实践者。去年8月，通义宣布加入开源行列，随之启动马不停蹄的开源狂飙，沿着“全模态、全尺寸”开源的路线，陆续推出十多款开源模型。目前，通义开源模型下载量已经超过700万。</p><p style=\"text-align: justify;\">“开发者的反馈和开源社区的生态支持，是通义大模型技术进步的重要助力。”阿里云CTO周靖人透露，未来通义大模型还会持续开源。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/8d299ab5dd96c94331037a28bf647b63\" alt=\"阿里云首席技术官周靖人宣布重磅发布\" title=\"阿里云首席技术官周靖人宣布重磅发布\" tg-width=\"1080\" tg-height=\"583\"/><span>阿里云首席技术官周靖人宣布重磅发布</span></p><p style=\"text-align: justify;\">从现实情况来看，大模型的训练和迭代成本极高，绝大部分的AI开发者和中小企业都无法负担。Meta、阿里云等推动的大模型开源风潮，让开发者们不必从头训练模型，还把模型选型的主动权交给了开发者，大大加速了大模型的应用落地进程。</p><p style=\"text-align: justify;\">为顺应不同场景用户的需求，通义推出参数规模横跨5亿到1100亿的八款大语言模型，小尺寸模型如0.5B、1.8B、4B、7B、14B，可便捷地在手机、PC等端侧设备部署；大尺寸模型如72B、110B，能支持企业级和科研级的应用；中等尺寸如32B，试图在性能、效率和内存占用之间找到最具性价比的平衡点。此外，通义还开源了视觉理解模型Qwen-VL、音频理解模型Qwen-Audio、代码模型CodeQwen1.5-7B、混合专家模型Qwen1.5-MoE。</p><p style=\"text-align: justify;\">通义72B、110B开源模型都曾登顶OpenLLMLeaderboard榜首。在开放研究机构LMSYSOrg推出的基准测试平台Chatbot Arena上，通义72B模型多次进入“盲测”结果全球Top 10，创造了国产大模型的先例。</p><p style=\"text-align: justify;\">根据最新数据，通义通过阿里云服务企业超过9万、通过钉钉服务企业超过220万，目前已应用于PC、手机、汽车、航空、天文、矿业、教育、医疗、餐饮、游戏、文旅等行业。</p><p style=\"text-align: justify;\">就在5月9日，小米旗下的智能助手“小爱同学”宣布与阿里云通义大模型达成合作，强化其在图片生成、图片理解等方面的多模态AI生成能力；新浪、众安保险、完美世界游戏、中国一汽等企业也宣布接入通义大模型，将大模型应用于社交媒体、保险、游戏等领域。</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>重大发布！阿里云宣布：全面赶超GPT-4！</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ 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0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n重大发布！阿里云宣布：全面赶超GPT-4！\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/9\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/d482d56459984e8c86a6a137295b3c4f);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">券商中国 </p>\n<p class=\"h-time\">2024-05-09 16:50</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>通义大模型发布一周年之际，迎来重要的历史性时刻！</p><p style=\"text-align: justify;\">5月9日，阿里云召开峰会，正式发布通义千问2.5，模型性能全面赶超GPT-4-Turbo，成为“地表最强”中文大模型。同时，通义千问1100亿参数开源模型在多个基准测评收获最佳成绩，超越Meta的Llama-3-70B，成为开源领域最强大模型。</p><p style=\"text-align: justify;\">在峰会当日，原通义千问APP宣布更名为“通义APP”，将通义大模型全套能力集于一身，致力于成为“通情达义”的AI助手。</p><p><strong>最强中文大模型来了</strong></p><p style=\"text-align: justify;\">历经一年多追赶，国产大模型终于进入大模型核心竞技场，可与国外一流大模型企业一较高下。</p><p style=\"text-align: justify;\">从现实情况来看，大模型技术爆发一年多，行业竞争态势激烈而又多变。通义千问走了一条最“卷”的路，自2023年4月问世以来，始终专注于基础模型的技术研发，从初代模型升级至2.5版本。</p><p style=\"text-align: justify;\">相比上一版本，2.5版模型的理解能力、逻辑推理、指令遵循、代码能力分别提升9%、16%、19%、10%，中文能力更是持续领先业界。根据权威基准Open Compass的测评结果，通义千问2.5得分追平GPT-4-Turbo，是该基准首次录得国产大模型取得如此出色的成绩。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/e0b0219ddd1cd838025790ede07524d5\" alt=\"\" title=\"\" tg-width=\"1080\" tg-height=\"830\"/></p><p style=\"text-align: justify;\">同时，通义还发布了1100亿参数开源模型Qwen1.5-110B，该模型在MMLU、Theorem QA、GPQA等基准测评中超越了Meta的Llama-3-70B模型；在Hugging Face推出的开源大模型排行榜Open LLM Leaderboard上，Qwen1.5-110B冲上榜首，再度证明通义开源系列业界竞争力领先。</p><p style=\"text-align: justify;\">此外，通义在多模态模型和专有能力模型也具备业界顶尖影响力。在多个多模态标准测试中，通义千问视觉理解模型Qwen-VL-Max得分超越Gemini Ultra和GPT-4V，这款模型已在多家企业落地应用；通义千问代码大模型Code Qwen1.5-7B则是Hugging Face代码模型榜单Big Code的头号选手，这款模型是国内用户规模第一的智能编码助手通义灵码的底座。</p><p style=\"text-align: justify;\">从曾经的追赶者到如今的并行者，一年间，通义发展出了业界领先的文生图、智能编码、文档解析、音视频理解等能力，企业客户和开发者可以通过API调用、模型下载等方式接入通义，个人用户可从APP、官网和小程序免费使用通义。</p><p><strong>始终坚定开源路线</strong></p><p style=\"text-align: justify;\">据了解，通义是大模型开源最积极的推动者和实践者。去年8月，通义宣布加入开源行列，随之启动马不停蹄的开源狂飙，沿着“全模态、全尺寸”开源的路线，陆续推出十多款开源模型。目前，通义开源模型下载量已经超过700万。</p><p style=\"text-align: justify;\">“开发者的反馈和开源社区的生态支持，是通义大模型技术进步的重要助力。”阿里云CTO周靖人透露，未来通义大模型还会持续开源。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/8d299ab5dd96c94331037a28bf647b63\" alt=\"阿里云首席技术官周靖人宣布重磅发布\" title=\"阿里云首席技术官周靖人宣布重磅发布\" tg-width=\"1080\" tg-height=\"583\"/><span>阿里云首席技术官周靖人宣布重磅发布</span></p><p style=\"text-align: justify;\">从现实情况来看，大模型的训练和迭代成本极高，绝大部分的AI开发者和中小企业都无法负担。Meta、阿里云等推动的大模型开源风潮，让开发者们不必从头训练模型，还把模型选型的主动权交给了开发者，大大加速了大模型的应用落地进程。</p><p style=\"text-align: justify;\">为顺应不同场景用户的需求，通义推出参数规模横跨5亿到1100亿的八款大语言模型，小尺寸模型如0.5B、1.8B、4B、7B、14B，可便捷地在手机、PC等端侧设备部署；大尺寸模型如72B、110B，能支持企业级和科研级的应用；中等尺寸如32B，试图在性能、效率和内存占用之间找到最具性价比的平衡点。此外，通义还开源了视觉理解模型Qwen-VL、音频理解模型Qwen-Audio、代码模型CodeQwen1.5-7B、混合专家模型Qwen1.5-MoE。</p><p style=\"text-align: justify;\">通义72B、110B开源模型都曾登顶OpenLLMLeaderboard榜首。在开放研究机构LMSYSOrg推出的基准测试平台Chatbot Arena上，通义72B模型多次进入“盲测”结果全球Top 10，创造了国产大模型的先例。</p><p style=\"text-align: justify;\">根据最新数据，通义通过阿里云服务企业超过9万、通过钉钉服务企业超过220万，目前已应用于PC、手机、汽车、航空、天文、矿业、教育、医疗、餐饮、游戏、文旅等行业。</p><p style=\"text-align: justify;\">就在5月9日，小米旗下的智能助手“小爱同学”宣布与阿里云通义大模型达成合作，强化其在图片生成、图片理解等方面的多模态AI生成能力；新浪、众安保险、完美世界游戏、中国一汽等企业也宣布接入通义大模型，将大模型应用于社交媒体、保险、游戏等领域。</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/15387486eaa7c5fd687d07c20c192913","relate_stocks":{"89988":"阿里巴巴-SWR","LU0084288322.USD":"Natixis Asia Equity RD USD","LU0384037296.USD":"ALLIANZ ASIAN MULTI INCOME PLUS \"AT\" (USD) ACC","LU0348788117.USD":"ALLIANZ 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Face代码模型榜单Big Code的头号选手，这款模型是国内用户规模第一的智能编码助手通义灵码的底座。从曾经的追赶者到如今的并行者，一年间，通义发展出了业界领先的文生图、智能编码、文档解析、音视频理解等能力，企业客户和开发者可以通过API调用、模型下载等方式接入通义，个人用户可从APP、官网和小程序免费使用通义。始终坚定开源路线据了解，通义是大模型开源最积极的推动者和实践者。去年8月，通义宣布加入开源行列，随之启动马不停蹄的开源狂飙，沿着“全模态、全尺寸”开源的路线，陆续推出十多款开源模型。目前，通义开源模型下载量已经超过700万。“开发者的反馈和开源社区的生态支持，是通义大模型技术进步的重要助力。”阿里云CTO周靖人透露，未来通义大模型还会持续开源。阿里云首席技术官周靖人宣布重磅发布从现实情况来看，大模型的训练和迭代成本极高，绝大部分的AI开发者和中小企业都无法负担。Meta、阿里云等推动的大模型开源风潮，让开发者们不必从头训练模型，还把模型选型的主动权交给了开发者，大大加速了大模型的应用落地进程。为顺应不同场景用户的需求，通义推出参数规模横跨5亿到1100亿的八款大语言模型，小尺寸模型如0.5B、1.8B、4B、7B、14B，可便捷地在手机、PC等端侧设备部署；大尺寸模型如72B、110B，能支持企业级和科研级的应用；中等尺寸如32B，试图在性能、效率和内存占用之间找到最具性价比的平衡点。此外，通义还开源了视觉理解模型Qwen-VL、音频理解模型Qwen-Audio、代码模型CodeQwen1.5-7B、混合专家模型Qwen1.5-MoE。通义72B、110B开源模型都曾登顶OpenLLMLeaderboard榜首。在开放研究机构LMSYSOrg推出的基准测试平台Chatbot Arena上，通义72B模型多次进入“盲测”结果全球Top 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贾骗子末日快到了","images":[{"img":"https://static.tigerbbs.com/a62238ac909a0f42dac7d15a764a9a9b","width":"1170","height":"2012"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":9,"commentSize":3,"repostSize":0,"link":"https://laohu8.com/post/336697904627952","isVote":1,"tweetType":1,"viewCount":2061,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3481109623161534","authorId":"3481109623161534","authorIdStr":"3481109623161534","name":"wilsonyang","avatar":"https://static.tigerbbs.com/6693f841e96f4aaf3eff48d96e19be4c","crmLevel":6,"crmLevelSwitch":0},"content":"这个贾某人真的素质太差了，团队也是，天天规划，计划，说了不算，算了不说。本来可以好好地经营，纵整出幺蛾子。80合1的时候说的多好听，本来上了一元，非要80倍合股，说什么5元以上才能融资！哪呢？！现在合了几次了，钱呢？增发的额度悄声地低价发出去了，现在又要增发，血债血偿。","text":"这个贾某人真的素质太差了，团队也是，天天规划，计划，说了不算，算了不说。本来可以好好地经营，纵整出幺蛾子。80合1的时候说的多好听，本来上了一元，非要80倍合股，说什么5元以上才能融资！哪呢？！现在合了几次了，钱呢？增发的额度悄声地低价发出去了，现在又要增发，血债血偿。","html":"这个贾某人真的素质太差了，团队也是，天天规划，计划，说了不算，算了不说。本来可以好好地经营，纵整出幺蛾子。80合1的时候说的多好听，本来上了一元，非要80倍合股，说什么5元以上才能融资！哪呢？！现在合了几次了，钱呢？增发的额度悄声地低价发出去了，现在又要增发，血债血偿。"}],"imageCount":1,"langContent":"CN","totalScore":0},{"id":336234748313648,"gmtCreate":1723124936745,"gmtModify":1723124938304,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 你们觉得手工耿一年可以敲出几台车？","listText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 你们觉得手工耿一年可以敲出几台车？","text":"$Faraday Future(FFIE)$ 你们觉得手工耿一年可以敲出几台车？","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":1,"repostSize":0,"link":"https://laohu8.com/post/336234748313648","isVote":1,"tweetType":1,"viewCount":506,"authorTweetTopStatus":1,"verified":2,"comments":[{"author":{"id":"3516340331928883","authorId":"3516340331928883","authorIdStr":"3516340331928883","name":"从你的全世界路过摔了一跤","avatar":"https://static.tigerbbs.com/d0b405c7a64587f43d73918b8a31011f","crmLevel":1,"crmLevelSwitch":0},"content":"都不用手工耿，国内随便找个代工厂都能生产","text":"都不用手工耿，国内随便找个代工厂都能生产","html":"都不用手工耿，国内随便找个代工厂都能生产"}],"imageCount":0,"langContent":"CN","totalScore":0},{"id":306923942248736,"gmtCreate":1715967282166,"gmtModify":1715967283325,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a 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这么无限接近零的手法拼夕夕都不如你。早点毁灭吧","text":"$Faraday Future(FFIE)$ 这么无限接近零的手法拼夕夕都不如你。早点毁灭吧","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/340518846246984","isVote":1,"tweetType":1,"viewCount":30,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":304027490308296,"gmtCreate":1715246905658,"gmtModify":1715246919382,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"首先“地表最强”里的地表是指哪一块地？一会儿并行者一会儿又一较高下，请问较了没，那么何来最强？这逻辑实在看不太明白，不吹不会死","listText":"首先“地表最强”里的地表是指哪一块地？一会儿并行者一会儿又一较高下，请问较了没，那么何来最强？这逻辑实在看不太明白，不吹不会死","text":"首先“地表最强”里的地表是指哪一块地？一会儿并行者一会儿又一较高下，请问较了没，那么何来最强？这逻辑实在看不太明白，不吹不会死","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/304027490308296","repostId":"2434057582","repostType":2,"repost":{"id":"2434057582","weMediaInfo":{"introduction":"致力于提供最及时的财经资讯，最专业的解读分析，覆盖宏观经济、金融机构、A股市场、上市公司、投资理财等财经领域。","home_visible":1,"media_name":"券商中国","id":"9","head_image":"https://static.tigerbbs.com/d482d56459984e8c86a6a137295b3c4f"},"pubTimestamp":1715244651,"share":"https://www.laohu8.com/m/news/2434057582?lang=&edition=full","pubTime":"2024-05-09 16:50","market":"hk","language":"zh","title":"重大发布！阿里云宣布：全面赶超GPT-4！","url":"https://stock-news.laohu8.com/highlight/detail?id=2434057582","media":"券商中国","summary":"通义大模型发布一周年之际，迎来重要的历史性时刻！5月9日，阿里云召开峰会，正式发布通义千问2.5，模型性能全面赶超GPT-4-Turbo，成为“地表最强”中文大模型。同时，通义千问1100亿参数开源模型在多个基准测评收获最佳成绩，超越Meta的Llama-3-70B，成为开源领域最强大模型。","content":"<html><head></head><body><p>通义大模型发布一周年之际，迎来重要的历史性时刻！</p><p style=\"text-align: justify;\">5月9日，阿里云召开峰会，正式发布通义千问2.5，模型性能全面赶超GPT-4-Turbo，成为“地表最强”中文大模型。同时，通义千问1100亿参数开源模型在多个基准测评收获最佳成绩，超越Meta的Llama-3-70B，成为开源领域最强大模型。</p><p style=\"text-align: justify;\">在峰会当日，原通义千问APP宣布更名为“通义APP”，将通义大模型全套能力集于一身，致力于成为“通情达义”的AI助手。</p><p><strong>最强中文大模型来了</strong></p><p style=\"text-align: justify;\">历经一年多追赶，国产大模型终于进入大模型核心竞技场，可与国外一流大模型企业一较高下。</p><p style=\"text-align: justify;\">从现实情况来看，大模型技术爆发一年多，行业竞争态势激烈而又多变。通义千问走了一条最“卷”的路，自2023年4月问世以来，始终专注于基础模型的技术研发，从初代模型升级至2.5版本。</p><p style=\"text-align: justify;\">相比上一版本，2.5版模型的理解能力、逻辑推理、指令遵循、代码能力分别提升9%、16%、19%、10%，中文能力更是持续领先业界。根据权威基准Open Compass的测评结果，通义千问2.5得分追平GPT-4-Turbo，是该基准首次录得国产大模型取得如此出色的成绩。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/e0b0219ddd1cd838025790ede07524d5\" alt=\"\" title=\"\" tg-width=\"1080\" tg-height=\"830\"/></p><p style=\"text-align: justify;\">同时，通义还发布了1100亿参数开源模型Qwen1.5-110B，该模型在MMLU、Theorem QA、GPQA等基准测评中超越了Meta的Llama-3-70B模型；在Hugging Face推出的开源大模型排行榜Open LLM Leaderboard上，Qwen1.5-110B冲上榜首，再度证明通义开源系列业界竞争力领先。</p><p style=\"text-align: justify;\">此外，通义在多模态模型和专有能力模型也具备业界顶尖影响力。在多个多模态标准测试中，通义千问视觉理解模型Qwen-VL-Max得分超越Gemini Ultra和GPT-4V，这款模型已在多家企业落地应用；通义千问代码大模型Code Qwen1.5-7B则是Hugging Face代码模型榜单Big Code的头号选手，这款模型是国内用户规模第一的智能编码助手通义灵码的底座。</p><p style=\"text-align: justify;\">从曾经的追赶者到如今的并行者，一年间，通义发展出了业界领先的文生图、智能编码、文档解析、音视频理解等能力，企业客户和开发者可以通过API调用、模型下载等方式接入通义，个人用户可从APP、官网和小程序免费使用通义。</p><p><strong>始终坚定开源路线</strong></p><p style=\"text-align: justify;\">据了解，通义是大模型开源最积极的推动者和实践者。去年8月，通义宣布加入开源行列，随之启动马不停蹄的开源狂飙，沿着“全模态、全尺寸”开源的路线，陆续推出十多款开源模型。目前，通义开源模型下载量已经超过700万。</p><p style=\"text-align: justify;\">“开发者的反馈和开源社区的生态支持，是通义大模型技术进步的重要助力。”阿里云CTO周靖人透露，未来通义大模型还会持续开源。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/8d299ab5dd96c94331037a28bf647b63\" alt=\"阿里云首席技术官周靖人宣布重磅发布\" title=\"阿里云首席技术官周靖人宣布重磅发布\" tg-width=\"1080\" tg-height=\"583\"/><span>阿里云首席技术官周靖人宣布重磅发布</span></p><p style=\"text-align: justify;\">从现实情况来看，大模型的训练和迭代成本极高，绝大部分的AI开发者和中小企业都无法负担。Meta、阿里云等推动的大模型开源风潮，让开发者们不必从头训练模型，还把模型选型的主动权交给了开发者，大大加速了大模型的应用落地进程。</p><p style=\"text-align: justify;\">为顺应不同场景用户的需求，通义推出参数规模横跨5亿到1100亿的八款大语言模型，小尺寸模型如0.5B、1.8B、4B、7B、14B，可便捷地在手机、PC等端侧设备部署；大尺寸模型如72B、110B，能支持企业级和科研级的应用；中等尺寸如32B，试图在性能、效率和内存占用之间找到最具性价比的平衡点。此外，通义还开源了视觉理解模型Qwen-VL、音频理解模型Qwen-Audio、代码模型CodeQwen1.5-7B、混合专家模型Qwen1.5-MoE。</p><p style=\"text-align: justify;\">通义72B、110B开源模型都曾登顶OpenLLMLeaderboard榜首。在开放研究机构LMSYSOrg推出的基准测试平台Chatbot Arena上，通义72B模型多次进入“盲测”结果全球Top 10，创造了国产大模型的先例。</p><p style=\"text-align: justify;\">根据最新数据，通义通过阿里云服务企业超过9万、通过钉钉服务企业超过220万，目前已应用于PC、手机、汽车、航空、天文、矿业、教育、医疗、餐饮、游戏、文旅等行业。</p><p style=\"text-align: justify;\">就在5月9日，小米旗下的智能助手“小爱同学”宣布与阿里云通义大模型达成合作，强化其在图片生成、图片理解等方面的多模态AI生成能力；新浪、众安保险、完美世界游戏、中国一汽等企业也宣布接入通义大模型，将大模型应用于社交媒体、保险、游戏等领域。</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>重大发布！阿里云宣布：全面赶超GPT-4！</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ 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0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n重大发布！阿里云宣布：全面赶超GPT-4！\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/9\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/d482d56459984e8c86a6a137295b3c4f);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">券商中国 </p>\n<p class=\"h-time\">2024-05-09 16:50</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>通义大模型发布一周年之际，迎来重要的历史性时刻！</p><p style=\"text-align: justify;\">5月9日，阿里云召开峰会，正式发布通义千问2.5，模型性能全面赶超GPT-4-Turbo，成为“地表最强”中文大模型。同时，通义千问1100亿参数开源模型在多个基准测评收获最佳成绩，超越Meta的Llama-3-70B，成为开源领域最强大模型。</p><p style=\"text-align: justify;\">在峰会当日，原通义千问APP宣布更名为“通义APP”，将通义大模型全套能力集于一身，致力于成为“通情达义”的AI助手。</p><p><strong>最强中文大模型来了</strong></p><p style=\"text-align: justify;\">历经一年多追赶，国产大模型终于进入大模型核心竞技场，可与国外一流大模型企业一较高下。</p><p style=\"text-align: justify;\">从现实情况来看，大模型技术爆发一年多，行业竞争态势激烈而又多变。通义千问走了一条最“卷”的路，自2023年4月问世以来，始终专注于基础模型的技术研发，从初代模型升级至2.5版本。</p><p style=\"text-align: justify;\">相比上一版本，2.5版模型的理解能力、逻辑推理、指令遵循、代码能力分别提升9%、16%、19%、10%，中文能力更是持续领先业界。根据权威基准Open Compass的测评结果，通义千问2.5得分追平GPT-4-Turbo，是该基准首次录得国产大模型取得如此出色的成绩。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/e0b0219ddd1cd838025790ede07524d5\" alt=\"\" title=\"\" tg-width=\"1080\" tg-height=\"830\"/></p><p style=\"text-align: justify;\">同时，通义还发布了1100亿参数开源模型Qwen1.5-110B，该模型在MMLU、Theorem QA、GPQA等基准测评中超越了Meta的Llama-3-70B模型；在Hugging Face推出的开源大模型排行榜Open LLM Leaderboard上，Qwen1.5-110B冲上榜首，再度证明通义开源系列业界竞争力领先。</p><p style=\"text-align: justify;\">此外，通义在多模态模型和专有能力模型也具备业界顶尖影响力。在多个多模态标准测试中，通义千问视觉理解模型Qwen-VL-Max得分超越Gemini Ultra和GPT-4V，这款模型已在多家企业落地应用；通义千问代码大模型Code Qwen1.5-7B则是Hugging Face代码模型榜单Big Code的头号选手，这款模型是国内用户规模第一的智能编码助手通义灵码的底座。</p><p style=\"text-align: justify;\">从曾经的追赶者到如今的并行者，一年间，通义发展出了业界领先的文生图、智能编码、文档解析、音视频理解等能力，企业客户和开发者可以通过API调用、模型下载等方式接入通义，个人用户可从APP、官网和小程序免费使用通义。</p><p><strong>始终坚定开源路线</strong></p><p style=\"text-align: justify;\">据了解，通义是大模型开源最积极的推动者和实践者。去年8月，通义宣布加入开源行列，随之启动马不停蹄的开源狂飙，沿着“全模态、全尺寸”开源的路线，陆续推出十多款开源模型。目前，通义开源模型下载量已经超过700万。</p><p style=\"text-align: justify;\">“开发者的反馈和开源社区的生态支持，是通义大模型技术进步的重要助力。”阿里云CTO周靖人透露，未来通义大模型还会持续开源。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/8d299ab5dd96c94331037a28bf647b63\" alt=\"阿里云首席技术官周靖人宣布重磅发布\" title=\"阿里云首席技术官周靖人宣布重磅发布\" tg-width=\"1080\" tg-height=\"583\"/><span>阿里云首席技术官周靖人宣布重磅发布</span></p><p style=\"text-align: justify;\">从现实情况来看，大模型的训练和迭代成本极高，绝大部分的AI开发者和中小企业都无法负担。Meta、阿里云等推动的大模型开源风潮，让开发者们不必从头训练模型，还把模型选型的主动权交给了开发者，大大加速了大模型的应用落地进程。</p><p style=\"text-align: justify;\">为顺应不同场景用户的需求，通义推出参数规模横跨5亿到1100亿的八款大语言模型，小尺寸模型如0.5B、1.8B、4B、7B、14B，可便捷地在手机、PC等端侧设备部署；大尺寸模型如72B、110B，能支持企业级和科研级的应用；中等尺寸如32B，试图在性能、效率和内存占用之间找到最具性价比的平衡点。此外，通义还开源了视觉理解模型Qwen-VL、音频理解模型Qwen-Audio、代码模型CodeQwen1.5-7B、混合专家模型Qwen1.5-MoE。</p><p style=\"text-align: justify;\">通义72B、110B开源模型都曾登顶OpenLLMLeaderboard榜首。在开放研究机构LMSYSOrg推出的基准测试平台Chatbot Arena上，通义72B模型多次进入“盲测”结果全球Top 10，创造了国产大模型的先例。</p><p style=\"text-align: justify;\">根据最新数据，通义通过阿里云服务企业超过9万、通过钉钉服务企业超过220万，目前已应用于PC、手机、汽车、航空、天文、矿业、教育、医疗、餐饮、游戏、文旅等行业。</p><p style=\"text-align: justify;\">就在5月9日，小米旗下的智能助手“小爱同学”宣布与阿里云通义大模型达成合作，强化其在图片生成、图片理解等方面的多模态AI生成能力；新浪、众安保险、完美世界游戏、中国一汽等企业也宣布接入通义大模型，将大模型应用于社交媒体、保险、游戏等领域。</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/15387486eaa7c5fd687d07c20c192913","relate_stocks":{"89988":"阿里巴巴-SWR","LU0084288322.USD":"Natixis Asia Equity RD USD","LU0384037296.USD":"ALLIANZ ASIAN MULTI INCOME PLUS \"AT\" (USD) ACC","LU0348788117.USD":"ALLIANZ 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ACC","LU0320764243.SGD":"FTIF - Templeton Emerging Markets A Acc SGD","LU0054450605.USD":"HSBC GIF GLOBAL EMERGING MARKTS EQ \"AD\" INC","IE00BMPRXR70.SGD":"Neuberger Berman 5G Connectivity A Acc SGD-H","LU0348805143.USD":"ALLIANZ ENHANCED ALL CHINA EQUITY \"A\" (USD) INC","LU0048597586.USD":"富达亚洲焦点A","LU0163747925.USD":"EASTSPRING INVESTMENTS ASIAN EQUITY A ACC","LU0128522157.USD":"TEMPLETON ASIAN GROWTH \"A\" ACC"},"source_url":"http://finance.eastmoney.com/a/202405093071463146.html","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2434057582","content_text":"通义大模型发布一周年之际，迎来重要的历史性时刻！5月9日，阿里云召开峰会，正式发布通义千问2.5，模型性能全面赶超GPT-4-Turbo，成为“地表最强”中文大模型。同时，通义千问1100亿参数开源模型在多个基准测评收获最佳成绩，超越Meta的Llama-3-70B，成为开源领域最强大模型。在峰会当日，原通义千问APP宣布更名为“通义APP”，将通义大模型全套能力集于一身，致力于成为“通情达义”的AI助手。最强中文大模型来了历经一年多追赶，国产大模型终于进入大模型核心竞技场，可与国外一流大模型企业一较高下。从现实情况来看，大模型技术爆发一年多，行业竞争态势激烈而又多变。通义千问走了一条最“卷”的路，自2023年4月问世以来，始终专注于基础模型的技术研发，从初代模型升级至2.5版本。相比上一版本，2.5版模型的理解能力、逻辑推理、指令遵循、代码能力分别提升9%、16%、19%、10%，中文能力更是持续领先业界。根据权威基准Open Compass的测评结果，通义千问2.5得分追平GPT-4-Turbo，是该基准首次录得国产大模型取得如此出色的成绩。同时，通义还发布了1100亿参数开源模型Qwen1.5-110B，该模型在MMLU、Theorem QA、GPQA等基准测评中超越了Meta的Llama-3-70B模型；在Hugging Face推出的开源大模型排行榜Open LLM Leaderboard上，Qwen1.5-110B冲上榜首，再度证明通义开源系列业界竞争力领先。此外，通义在多模态模型和专有能力模型也具备业界顶尖影响力。在多个多模态标准测试中，通义千问视觉理解模型Qwen-VL-Max得分超越Gemini Ultra和GPT-4V，这款模型已在多家企业落地应用；通义千问代码大模型Code Qwen1.5-7B则是Hugging Face代码模型榜单Big Code的头号选手，这款模型是国内用户规模第一的智能编码助手通义灵码的底座。从曾经的追赶者到如今的并行者，一年间，通义发展出了业界领先的文生图、智能编码、文档解析、音视频理解等能力，企业客户和开发者可以通过API调用、模型下载等方式接入通义，个人用户可从APP、官网和小程序免费使用通义。始终坚定开源路线据了解，通义是大模型开源最积极的推动者和实践者。去年8月，通义宣布加入开源行列，随之启动马不停蹄的开源狂飙，沿着“全模态、全尺寸”开源的路线，陆续推出十多款开源模型。目前，通义开源模型下载量已经超过700万。“开发者的反馈和开源社区的生态支持，是通义大模型技术进步的重要助力。”阿里云CTO周靖人透露，未来通义大模型还会持续开源。阿里云首席技术官周靖人宣布重磅发布从现实情况来看，大模型的训练和迭代成本极高，绝大部分的AI开发者和中小企业都无法负担。Meta、阿里云等推动的大模型开源风潮，让开发者们不必从头训练模型，还把模型选型的主动权交给了开发者，大大加速了大模型的应用落地进程。为顺应不同场景用户的需求，通义推出参数规模横跨5亿到1100亿的八款大语言模型，小尺寸模型如0.5B、1.8B、4B、7B、14B，可便捷地在手机、PC等端侧设备部署；大尺寸模型如72B、110B，能支持企业级和科研级的应用；中等尺寸如32B，试图在性能、效率和内存占用之间找到最具性价比的平衡点。此外，通义还开源了视觉理解模型Qwen-VL、音频理解模型Qwen-Audio、代码模型CodeQwen1.5-7B、混合专家模型Qwen1.5-MoE。通义72B、110B开源模型都曾登顶OpenLLMLeaderboard榜首。在开放研究机构LMSYSOrg推出的基准测试平台Chatbot Arena上，通义72B模型多次进入“盲测”结果全球Top 10，创造了国产大模型的先例。根据最新数据，通义通过阿里云服务企业超过9万、通过钉钉服务企业超过220万，目前已应用于PC、手机、汽车、航空、天文、矿业、教育、医疗、餐饮、游戏、文旅等行业。就在5月9日，小米旗下的智能助手“小爱同学”宣布与阿里云通义大模型达成合作，强化其在图片生成、图片理解等方面的多模态AI生成能力；新浪、众安保险、完美世界游戏、中国一汽等企业也宣布接入通义大模型，将大模型应用于社交媒体、保险、游戏等领域。","news_type":1},"isVote":1,"tweetType":1,"viewCount":357,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":335196238078096,"gmtCreate":1722867137761,"gmtModify":1722867139259,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a><v-v data-views=\"0\"></v-v> 你以为你是七姐妹么，还有脸跌。差不多该拉了，不然韭菜地都荒了。","listText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a><v-v data-views=\"0\"></v-v> 你以为你是七姐妹么，还有脸跌。差不多该拉了，不然韭菜地都荒了。","text":"$Faraday Future(FFIE)$ 你以为你是七姐妹么，还有脸跌。差不多该拉了，不然韭菜地都荒了。","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/335196238078096","isVote":1,"tweetType":1,"viewCount":358,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":327838431494384,"gmtCreate":1721070655997,"gmtModify":1721070657509,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 哎呦呦，一毛钱诶。了不起[弱]&nbsp;&nbsp;","listText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 哎呦呦，一毛钱诶。了不起[弱]&nbsp;&nbsp;","text":"$Faraday Future(FFIE)$ 哎呦呦，一毛钱诶。了不起[弱]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/327838431494384","isVote":1,"tweetType":1,"viewCount":339,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":308015783415816,"gmtCreate":1716221066589,"gmtModify":1716221068045,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a>发疯了，上个交易日震幅137%，今天这会儿117% FF治好了多年的心脏病","listText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a>发疯了，上个交易日震幅137%，今天这会儿117% FF治好了多年的心脏病","text":"$Faraday Future(FFIE)$ 发疯了，上个交易日震幅137%，今天这会儿117% FF治好了多年的心脏病","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/308015783415816","isVote":1,"tweetType":1,"viewCount":566,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":306517959577632,"gmtCreate":1715868057109,"gmtModify":1715869047318,"author":{"id":"4155135294821732","authorId":"4155135294821732","authorIdStr":"4155135294821732","name":"Nathan.c","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":4,"crmLevelSwitch":0,"followedFlag":false},"themes":[],"htmlText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 停牌了，已清仓","listText":"<a href=\"https://laohu8.com/S/FFIE\">$Faraday Future(FFIE)$&nbsp;</a> 停牌了，已清仓","text":"$Faraday Future(FFIE)$ 停牌了，已清仓","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/306517959577632","isVote":1,"tweetType":1,"viewCount":251,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0}],"lives":[]}