2 papers
cs.LG2024
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data
Yuwei Fan, Tao Song, Chenlong Feng +3
The remarkable achievements of large models in the fields of natural language processing (NLP) and computer vision (CV) have sparked interest in their application to time series fo…
cs.LG2024
Enhancing Stability for Large Language Models Training in Constrained Bandwidth Networks
Yun Dai, Tejas Dharamsi, Byron Hsu +2
Training extremely large language models (LLMs) with billions of parameters is a computationally intensive task that pushes the limits of current data parallel training systems. Wh…