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X-ORIGINAL-URL:https://lassonde.yorku.ca/
X-WR-CALNAME:Lassonde School of Engineering
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BEGIN:VEVENT
CLASS:PUBLIC
DTSTART;TZID=America/Toronto:20250228T090000
DTEND;TZID=America/Toronto:20250228T100000
DTSTAMP:20250213T181600
UID:MEC-725d4a88f9d9e33840529dda7f293d1d@lassonde.yorku.ca
CREATED:20250213
LAST-MODIFIED:20250219
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:AI + SE Seminar Series: Comprehensive Effectiveness Enhancement of Code LLMs
DESCRIPTION:Join this seminar to explore new methodologies for improving the effectiveness of code large language models (LLMs) in software engineering. Dr. Junjie Chen from Tianjin University will discuss key strategies, including data augmentation, data denoising, and prompt engineering, to enhance model performance and practical applications.\nFriday, February 28\n9 am – 10 am\nRegister\n
URL:https://lassonde.yorku.ca/eecs/events/feb2025/
CATEGORIES:Electrical Engineering &amp; Computer Science
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