  With the advent of Fifth Generation (5G) and Sixth Generation (6G)
communication technologies, as well as the Internet of Things (IoT), semantic
communication is gaining attention among researchers as current communication
technologies are approaching Shannon's limit. On the other hand, Large Language
Models (LLMs) can understand and generate human-like text, based on extensive
training on diverse datasets with billions of parameters. Considering the
recent near-source computational technologies like Edge, in this article, we
give an overview of a framework along with its modules, where LLMs can be used
under the umbrella of semantic communication at the network edge for efficient
communication in IoT networks. Finally, we discuss a few applications and
analyze the challenges and opportunities to develop such systems.
