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cs.DC2024
Training Overhead Ratio: A Practical Reliability Metric for Large Language Model Training Systems
Ning Lu, Qian Xie, Hao Zhang +4
Large Language Models (LLMs) are revolutionizing the AI industry with their superior capabilities. Training these models requires large-scale GPU clusters and significant computing…
cs.LG2024★ 1 cited
Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis
Yi Hu, Hyeonjin Kim, Kai Ye +1
This paper presents a novel method for utilizing fine-tuned Large Language Models (LLMs) to minimize data requirements in load profile analysis, demonstrated through the restoratio…
eess.SY2024
A Novel Vision Transformer based Load Profile Analysis using Load Images as Inputs
Hyeonjin Kim, Yi Hu, Kai Ye +1
This paper introduces ViT4LPA, an innovative Vision Transformer (ViT) based approach for Load Profile Analysis (LPA). We transform time-series load profiles into load images. This…