TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting

The forecasting of entity trajectories at future points in time is a critical capability gap in applications across both Commercial and Defense sectors. Transformers, and specifically Generative Pre-trained Transformer (GPT) networks have recently revolutionized several fields of Artificial Intelligence, most notably Natural Language Processing (NLP) with the advent of Large Language Models (LLM) like OpenAI's ChatGPT. In this research paper, we introduce TrackGPT, a GPT-based model for entity trajectory forecasting that has shown utility across both maritime and air domains, …

applications artificial artificial intelligence capability commercial cs.ai cs.lg defense domain fields forecasting future gap generative generative pre-trained transformer gpt intelligence language language processing natural natural language natural language processing networks nlp processing trajectory transformer transformers