I'm Yu Chen Kuo, currently focusing on developing Large Language Models (LLM) for foreign exchange analysis at the Industrial Technology Research Institute (ITRI).

My core work focuses on conducting in-depth analyses of economic reports from around the world and meticulously examining various types of time-series data. Through these analyses, we are able to integrate insights into the model training process, thereby enhancing the LLM's predictive capabilities for exchange rates and producing valuable financial reports.

My background is firmly rooted in artificial intelligence and robotics, with significant achievements in these areas. I hold a certification in Automation System Integration from the Taiwan Automation Intelligence and Robotics Association, closely aligning with my studies in robotics and automation.

I've completed various machine learning courses from prestigious institutions like Imperial College London, Goldsmith University of London, Duke University, National Taiwan University, and the 中華民國資訊安全學會, further enhancing my expertise in this field.

My tenure at ITRI has been a cornerstone of my education. Here, I worked on autonomous driving image processing using YOLO v5, achieving 85% accuracy in automatic data labeling. This project was vital in handling both daytime and nighttime images effectively.

In competitive environments, I've secured impressive positions, including fourth in the 亞洲機器人大賽, 57th in the AI Cup's 多模態病理嗓音分類競賽, and 10th in the AI Cup's 圍棋棋力模仿與棋風辨識競賽. These accomplishments underscore my deep commitment to AI and robotics, equipping me for significant contributions in the field of LLM development