During April 2025, Laugh12321 enhanced the ultralytics/ultralytics repository by implementing explicit shape handling for dynamic YOLO-World exports to TensorRT. Focusing on computer vision and deep learning, they refined the guide tensor’s shape adjustment logic to support varying input sizes, addressing a key challenge in scalable model deployment. This work, delivered as a single commit using Python and PyTorch, improved the reliability of exporting YOLO-World models to TensorRT by ensuring compatibility with dynamic input shapes. The contribution demonstrated a focused approach to solving a nuanced engineering problem, reflecting depth in both machine learning workflows and deployment optimization.