NetLLM: Adapting Large Language Models for Networking
Duo Wu, Xianda Wang, Yaqi Qiao, Zhi Wang, Junchen Jiang, Shuguang Cui, Fangxin Wang
Abstract
Many networking tasks now employ deep learning (DL) to solve complex prediction and optimization problems. However, current design philosophy of DL-based algorithms entails intensive engineering overhead due to the manual design of deep neural networks (DNNs) for different networking tasks. Besides, DNNs tend to achieve poor generalization performance on unseen data distributions/environments.
Topics & Concepts
Adaptation (eye)Computer scienceLinguisticsPsychologyPhilosophyNeuroscienceBrain Tumor Detection and ClassificationTopic ModelingAdvanced Graph Neural Networks