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dc.contributor.authorMakatura, Liane
dc.contributor.authorFoshey, Michael
dc.contributor.authorWang, Bohan
dc.contributor.authorHähnlein, Felix
dc.contributor.authorMa, Pingchuan
dc.contributor.authorDeng, Bolei
dc.contributor.authorTjandrasuwita, Megan
dc.contributor.authorSpielberg, Andrew
dc.contributor.authorOwens, Crystal Elaine
dc.contributor.authorChen, Peter Yichen
dc.contributor.authorZhao, Allan
dc.contributor.authorZhu, Amy
dc.contributor.authorNorton, Wil J
dc.contributor.authorGu, Edward
dc.contributor.authorJacob, Joshua
dc.contributor.authorLi, Yifei
dc.contributor.authorSchulz, Adriana
dc.contributor.authorMatusik, Wojciech
dc.date.accessioned2023-07-27T17:28:58Z
dc.date.available2023-07-27T17:28:58Z
dc.date.issued2023-07-27
dc.identifier.urihttps://hdl.handle.net/1721.1/151174
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectLarge Language Models, GPT-4, computational design, computational fabrication, CAD, CAM, design for manufacturing, simulation, inverse designen_US
dc.titleHow Can Large Language Models Help Humans in Design And Manufacturing?en_US
dc.typeArticleen_US


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