Large Language Models for the Telecom: The Next Big Thing? - Merouane Debbah

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 identify network faults, improve network security, and facilitate spectrum sharing.

LLM-based solutions can be trained on large-scale datasets to capture the heterogeneity and diversity of wireless networks. These models can be deployed on resource-limited devices like smartphones to provide intelligent wireless services.

Based on our recent announcement of FALCON LLM in March 2023 (https://www.itp.net/emergent-tech/uae-owned-ai-language-model-outperforms-chatgpt3), which is a foundational large language model (LLM) with 40 billion parameters, outperforming GPT 3, developed by the AI and Digital Science Research Center at TII, we will discuss our recent progress on LLM features and the potential of FALCON LLM in enabling intelligent wireless communication systems.