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Large language models (LLMs) are advanced AI systems that excel in comprehending and generating human language. They utilize deep learning techniques to achieve unprecedented scale and complexity in language processing. One prominent example of LLM is ChatGPT, and they find application in intelligent educational tools, offering personalized tutoring and answering questions across various subjects. Moreover, LLMs have potential applications in scientific research by summarizing scientific discovery, extracting key information, and even deriving research plans. These capabilities can be extended to assist engineering researchers and educators in their domains.

Oct. 19 -- Oct. 20

This is a two-day workshop, with the following tentative events

• Day 1: Ideation
  • Invited talks
  • Brainstorming discussion, and
  • Poster sessions
• Day 2: Hands-on experience
  • An LLM hackathon
  • Roundtable discussion with underrepresented groups
  • Demonstrations of LLM applications

• Yangfeng Ji (CS)
• Felix X. Lin (CS)
• Prasanna Balachandran (MSE/MAE)
• Meiqin Li (APMA)
• Sara Riggs (SIE)

TBA