일시: 2024년 7월 3일(수), 10:30-12:30
장소: 판교 테크노밸리 산업수학혁신센터 세미나실
발표자: 이성윤 교수(한양대학교)
주요내용: How Large Models Learn?
For years, large models (trained with deep learning algorithms) have been able to “survive” in the competitive and wild “nature”. But how? How could large models have been “selected” by practitioners? Is it because of the architecture of the neural networks or the gradient-based optimization? In this talk, we try to answer these questions.
일시: 2024년 7월 3일(수), 10:30-12:30
장소: 판교 테크노밸리 산업수학혁신센터 세미나실
발표자: 이성윤 교수(한양대학교)
주요내용: How Large Models Learn?
For years, large models (trained with deep learning algorithms) have been able to “survive” in the competitive and wild “nature”. But how? How could large models have been “selected” by practitioners? Is it because of the architecture of the neural networks or the gradient-based optimization? In this talk, we try to answer these questions.