[{"data":1,"prerenderedAt":156},["ShallowReactive",2],{"content-query-YpOYFiTpDm":3},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":9,"date":10,"cover":11,"type":12,"body":13,"_type":150,"_id":151,"_source":152,"_file":153,"_stem":154,"_extension":155},"/news/zh/3403","zh",false,"","加速使能大模型&科学智能创新——昇思论坛在华为全联接大会期间成功举办","2024年9月21日，在华为全联接大会2024（HUAWEI CONNECT 2024）期间，昇思MindSpore专题论坛顺利举办。","2024-09-23","https://obs-mindspore-file.obs.cn-north-4.myhuaweicloud.com/file/2024/09/27/2ba0324c2b744356ba630fec5de21862.png","news",{"type":14,"children":15,"toc":147},"root",[16,24,30,35,45,52,57,62,69,74,79,86,91,96,103,108,113,120,125,130,137,142],{"type":17,"tag":18,"props":19,"children":21},"element","h1",{"id":20},"加速使能大模型科学智能创新昇思论坛在华为全联接大会期间成功举办",[22],{"type":23,"value":8},"text",{"type":17,"tag":25,"props":26,"children":27},"p",{},[28],{"type":23,"value":29},"2024年9月21日，在华为全联接大会2024（HUAWEI CONNECT 2024）期间，昇思MindSpore专题论坛顺利举办。该论坛聚焦大模型与科学智能创新成果，汇聚近百位国内外AI领域领军学者、技术领袖及开发者演讲、参会，共同分享AI领域发展趋势与产业机遇。",{"type":17,"tag":25,"props":31,"children":32},{},[33],{"type":23,"value":34},"当下，大模型以更大的参数规模不断演进，十万亿参数的MoE模型对框架提出了新的挑战，同时，新的硬件架构设计形式，对AI框架这一基础软件也提出了新的要求。华为于2020年3月开源的昇思MindSpore AI框架，作为业内首个原生支持大模型、科学智能创新的AI融合框架，面向大模型及硬件创新，迭代至2.4版本，原生支持超节点，助力大模型加速训练。",{"type":17,"tag":25,"props":36,"children":37},{},[38,43],{"type":17,"tag":39,"props":40,"children":42},"img",{"alt":7,"src":41},"https://obs-mindspore-file.obs.cn-north-4.myhuaweicloud.com/file/2024/09/27/97f04dc9d30c4f6cb2baaa308e181b9b.png",[],{"type":23,"value":44}," 昇思MindSpore业务总经理、昇思开源社区理事长丁诚在致辞中表示，四年多以来，昇思秉承着“全场景协同、全流程极简、全架构统一”三大价值主张，在产业界伙伴的积极响应下，已迅速成长为国内第一的AI框架团队。目前，昇思携手合作伙伴，如面壁智能、上海人工智能实验室、中科院上海药物所、智谱、中国商飞等，孵化、适配了50多个大模型，为AI产业的百模千态发展奠定了坚实的软件基础。",{"type":17,"tag":25,"props":46,"children":47},{},[48],{"type":17,"tag":39,"props":49,"children":51},{"alt":7,"src":50},"https://obs-mindspore-file.obs.cn-north-4.myhuaweicloud.com/file/2024/09/27/11da879c0b9c41af8c632cd6316a9cba.png",[],{"type":17,"tag":25,"props":53,"children":54},{},[55],{"type":23,"value":56},"昇思MindSpore业务总经理、昇思开源社区理事长 丁诚",{"type":17,"tag":25,"props":58,"children":59},{},[60],{"type":23,"value":61},"昇思MindSpore技术专家王神迪带来了《昇思2.4版本加速大模型原生创新》主题分享。他表示，昇思MindSpore全新发布2.4版本，原生亲和超节点，并推出高维张量并行与长序列并行联合优化，使能万亿MoE加速训练。同时，在易用性上持续提升动静统一能力，以高阶API使能开发者平滑切换动静态图开发，降低使用门槛、提升开发效率。技术生态上，昇思以开源社区为核心，联合伙伴设立上海昇思生态创新中心，以共建、共治、共享赋能企业、高校科研院所与开发者打造模型及应用，成果显著。",{"type":17,"tag":25,"props":63,"children":64},{},[65],{"type":17,"tag":39,"props":66,"children":68},{"alt":7,"src":67},"https://obs-mindspore-file.obs.cn-north-4.myhuaweicloud.com/file/2024/09/27/d96785c3857a417ebd36236c4e79479b.png",[],{"type":17,"tag":25,"props":70,"children":71},{},[72],{"type":23,"value":73},"昇思MindSpore技术专家 王神迪",{"type":17,"tag":25,"props":75,"children":76},{},[77],{"type":23,"value":78},"随后，上海人工智能实验室训练框架及编译计算负责人裴芝林发表了题为《基于昇思MindSpore和浦语·DeepLink，联创书生.浦语大模型》的演讲。他提到，上海人工智能实验自2022年底就开始与昇思合作，一路见证了昇思的发展，DeepLink框架体系是基于MindSpore等框架基础之上进行的二次迭代式、演进式的开发，书生浦语大模型也将基于昇思进行持续创新。",{"type":17,"tag":25,"props":80,"children":81},{},[82],{"type":17,"tag":39,"props":83,"children":85},{"alt":7,"src":84},"https://obs-mindspore-file.obs.cn-north-4.myhuaweicloud.com/file/2024/09/27/2e2d1b4d903b4f8d8d715f7b91a97cea.png",[],{"type":17,"tag":25,"props":87,"children":88},{},[89],{"type":23,"value":90},"上海人工智能实验室训练框架及编译计算负责人 裴芝林",{"type":17,"tag":25,"props":92,"children":93},{},[94],{"type":23,"value":95},"面壁智能首席研究员，清华大学计算机系助理研究员韩旭以《端侧大模型的高效构建与应用》为主题进行了分享。韩旭指出，大模型实际的发展规律呈现的在scalling的同时，也呈现了dense的规律，模型的知识密度持续增强，达到相同能力所需要的尺寸和训练数据也是不断变小的，面壁智能在模型训练、端侧高效应用、软硬优化上做了深入探索。他提到，面壁的BMTrain框架已经支持昇思MindSpore，且未来会与自主创新生态进行持续结合。",{"type":17,"tag":25,"props":97,"children":98},{},[99],{"type":17,"tag":39,"props":100,"children":102},{"alt":7,"src":101},"https://obs-mindspore-file.obs.cn-north-4.myhuaweicloud.com/file/2024/09/27/9653368bf3d44d42b2bef5107d69d20d.png",[],{"type":17,"tag":25,"props":104,"children":105},{},[106],{"type":23,"value":107},"面壁智能首席研究员，清华大学计算机系助理研究员 韩旭",{"type":17,"tag":25,"props":109,"children":110},{},[111],{"type":23,"value":112},"中国科学院上海药物所研究员郑明月分享了《基于昇思MindSpore打造药物学大模型，助力医药领域实现突破性创新》报告，他表示，人工智能的快速发展使得我们可以将新药研发的部分环节进行数字化，从而大幅提升新药研发的效率。郑明月老师团队与昇思团队共同开发药灵大模型，在药物领域知识提取、合成规划和多模态交叉下游任务等可以实现工业级可用，为生物医药领域带来了巨大的助力。",{"type":17,"tag":25,"props":114,"children":115},{},[116],{"type":17,"tag":39,"props":117,"children":119},{"alt":7,"src":118},"https://obs-mindspore-file.obs.cn-north-4.myhuaweicloud.com/file/2024/09/27/d8807e89547b48bb97d5d0ca64b4e112.png",[],{"type":17,"tag":25,"props":121,"children":122},{},[123],{"type":23,"value":124},"中国科学院上海药物所研究员 郑明月",{"type":17,"tag":25,"props":126,"children":127},{},[128],{"type":23,"value":129},"最后，湖北工业大学副教授张杨作为昇思MindSpore开源社区优秀开发者和布道师代表，带来了《从开发者到布道师，携手昇思共成长》的主题演讲。张杨老师分享了个人在学习、使用和教学采用昇思的经验与故事，他带领学生团队基于昇思MindSpore等产品打造了矿石检测、轨道侵入识别、自动驾驶等算法研究，同时成立了昇思学习小组，与学生一起提升能力。未来，张杨老师希望，努力构建全方位深层次的产学研教赛的人才培养模式，将产品和案例全面融入到AI+X的通识课和专业课，并联合湖北甚至全国的高校进行模式复制。",{"type":17,"tag":25,"props":131,"children":132},{},[133],{"type":17,"tag":39,"props":134,"children":136},{"alt":7,"src":135},"https://obs-mindspore-file.obs.cn-north-4.myhuaweicloud.com/file/2024/09/27/6251c8bbb35148ce93fabcb9dd2ddb31.png",[],{"type":17,"tag":25,"props":138,"children":139},{},[140],{"type":23,"value":141},"湖北工业大学副教授 张杨",{"type":17,"tag":25,"props":143,"children":144},{},[145],{"type":23,"value":146},"昇思MindSpore始终以不断进化、坚持开放的姿态支持人工智能技术创新，未来，昇思将继续携手学术界、产业界开发者持续探索AI技术的无尽前沿。",{"title":7,"searchDepth":148,"depth":148,"links":149},4,[],"markdown","content:news:zh:3403.md","content","news/zh/3403.md","news/zh/3403","md",1776506083588]