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Click \"Join Event\" here:\u00a0https:\/\/umich.joinhandshake.com\/edu\/events\/2049671\u00a0Just getting started building a resume? Have a draft but not sure how to make it better? Want to learn about resources available to revise your resume? Wherever you\u2019re at Resume Lab is a great next step for you.\u00a0Get real-time, personalized support in a small group setting by checking out the Resume Lab.We will discuss and educate you on\u2026- Design and format- Writing a great bullet point- Targeting yourresume for specific internships\/jobs\u00a0If you're a Graduate Student or Recent Grad, please make a 1:1 appointment instead of attending the Lab because this event is designed for undergraduates.\u00a0Note: This event's information is shown in Handshake as well as on the Happening @ Michigan calendar so that it will be seen by a larger number ofU-M Students.We want to ensure full and equitable participationin our events. If an accessibility accommodation would promote your full participation in this event, please indicate your accommodation requirements via the link below, preferably at least 14 days prior to the program to ensure sufficient time for arranging your requested accommodation(s) orexploring suitable alternatives. If you have any questions regarding access to our programs, please don't hesitate to reach out to Jocelyn Gaydos at jmgaydos@umich.edu. 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This hands-on workshop, led by Kwok-leong Tang from Harvard University, uses those mistakes to explain how the technology works, so that participants can decide when to trust it and when to use it.\n\nNo technical background is needed, and you can attend in person or register to join via Zoom (https:\/\/myumi.ch\/zNnZM). A laptop is required for in-person participants \u2014 the Hatcher Gallery Lab is equipped with laptops, but please feel free to bring your own.\n\nWhen an AI tool gives a wrong answer, there are two possible reasons: the model itself cannot do the task, or we have not given it what it needs. The workshop teaches how to tell these apart. First, we will run a small AI model on our own laptops and look inside it: how it reads text, how it chooses each word, and why it can sound certain and still be wrong. Next, we will see how clearer instructions, more context, or a connected tool can fix some mistakes but not others. Finally, we will practice a simple way to test an AI answer: ask the same question several times and check the results against a reliable source.\n\nKwok-leong Tang serves as the managing director of the Digital China Initiative and a lecturer for the Department of East Asian Languages and Civilizations at Harvard University. By training, he is a historian. He received his bachelor\u2019s and master\u2019s degrees in history from the Chinese University of Hong Kong and a Ph.D. in history and Asian Studies from Pennsylvania State University. In recent years, he has focused on exploring the potential of new technologies in humanities research. He has organized and instructed workshops on adopting GenAI in Chinese studies and humanities research at Harvard and other institutions.\n\nThe Deep Dive into Digital and Data Methods for Chinese Studies series is sponsored by the U-M Library (Asia Library) and the Lieberthal-Rogel Center for Chinese Studies. 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