Are You Being Tracked? Discover the Power of Zero-Shot Trajectory Tracing with LLMs!

arXiv:2403.06201v1 Announce Type: cross
Abstract: There is a burgeoning discussion around the capabilities of Large Language Models (LLMs) in acting as fundamental components that can be seamlessly incorporated into Artificial Intelligence of Things (AIoT) to interpret complex trajectories. This study introduces LLMTrack, a model that illustrates how LLMs can be leveraged for Zero-Shot Trajectory Recognition by employing a novel single-prompt technique that combines role-play and think step-by-step methodologies with unprocessed Inertial Measurement Unit (IMU) data. We evaluate the model using …

abstract acting aiot artificial artificial intelligence arxiv capabilities components cs.ai cs.cl cs.hc cs.lg intelligence language language models large language large language models llms power study tracing trajectory type zero-shot