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SUMMARY:LLM Working Group
DESCRIPTION:The LLM Working Group is a community founded to facilitate conversations about Large Language Models (LLMs) and Generative AI within academia. This 4-part series will provide fundamental knowledge of LLMs\, and generate conversation about the promises and challenges of LLMs in different facets of academic work. \nIn the second session\, Teaching with LLMs\, Kimberly Vinall\, Emily Hellmich\, Genevieve Smith\, and Ben Spanbock will lead a dialogue on the potential of LLMs in reshaping educational landscapes. It discusses educational challenges such as AI literacy\, academic integrity\, biases\, hallucinations\, and privacy issues\, as well as opportunities such as accessibility and democratization. \nQuestions we will be addressing include: \n\nHow can we cultivate openness in class about students using LLMs and GenAI?\nWill LLMs fundamentally alter the importance of remembering knowledge and learning?\nAre LLMs fundamentally different from other information technologies like Wikipedia?\nHow to cultivate openness in class about students using LLMs and GenAI?\n\nLLM working Group sessions will be interactive\, encouraging participants to share their experiences\, pose questions\, and collaboratively explore the challenges and potential of these technologies in their respective fields. \nPlease send in your questions ahead of time for priority consideration – you can use this Google Form to let us know what’s on your mind. We review all submitted questions but may need to shorten\, consolidate\, or clarify them for discussion. \nWe encourage everyone to participate\, regardless of their experience level with LLMs and GenAI. The LLM Working Group is a welcoming and supportive community for all. \nThis is a hybrid event. In-person seating is limited to 35.
URL:https://grad.berkeley.edu/event/llm-working-group-3/
LOCATION:Hybrid: D-Lab Collaboratory\, 356 Social Sciences Building or Zoom
CATEGORIES:Professional Development Events
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