Large Language Models for Telecom
This talk will discuss the recent progress on LLM features and the potential of LLM in enabling intelligent wireless communication systems.
Abstract
Large Language Models (LLMs) have shown remarkable success in natural language processing (NLP) tasks, such as language translation, text summarization, and sentiment analysis. They can also help in identifying network faults, improving network security, and facilitating spectrum sharing. LLM-based solutions can be trained on largescale datasets to capture the heterogeneity and diversity of wireless networks. These models can be deployed on resource-limited devices, such as smartphones, to provide intelligent wireless services. In this talk, we will discuss our recent progress on LLM features and the potential of LLM in enabling intelligent wireless communication systems.