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, such as smartphones, to provide intelligent wireless services. The talk discussed the recent progress on LLM features and the potential of FALCON LLM, which is a large foundational language model (LLM) with 40 billion parameters, to enable intelligent wireless communication systems.
Quick details about the event:
Date: 20 September 2023
Time: 9:00 – 10:00
Venue: Online Event
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Speakers’ bio:
Mérouane Debbah is a researcher, educator, and technology entrepreneur. Over his career, he has founded several public and industrial research centers and start-ups and is now a professor at Khalifa University of Science and Technology in Abu Dhabi.
He is a frequent keynote speaker at international events in telecommunication and AI. His research has been at the interface of fundamental mathematics, algorithms, statistics, information, and communication sciences, focusing on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G), and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks, and semantic communications. He received multiple prestigious distinctions, prizes, and best paper awards (more than 35 best paper awards) for his contributions to both fields and, according to research.com, is ranked as the best scientist in France in Electronics and Electrical Engineering. He is an IEEE Fellow, a WWRF Fellow, an Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow, and a Membre émérite SEE.
