R&D on LLM post-training【2025年度インターン】
自己紹介
My name is Yang Boming. I am currently a second-year Ph.D. student (D2) at the University of Tokyo. My research primarily focuses on post-training and Reinforcement Learning (RL) to continuously enhance the capabilities of LLMs.
インターンで取り組んだこと
My internship theme was "R&D on LLM post-training." While the broader scope included data quality evaluation and synthetic data generation, my specific focus and responsibility were centered on Reward Modeling. I focused on the development and optimization of Reward Models for LLM post-training. This involved experimenting with different architectures and loss functions to better align model outputs with human preferences, ultimately contributing to the improvement of the overall model performance.
インターン参加のきっかけ
My main motivation was to bridge the gap between academia and industry. I find it deeply rewarding to apply theoretical methods from research papers to real-world industrial models. PFN is undoubtedly one of the top AI companies in Japan, and I felt honored to learn from such a talented group of experts.
インターン期間中の過ごし方
The working hours at PFN are very flexible, which allowed me to commute comfortably. A typical day involved deep-focus development in the morning, followed by a pleasant lunch with my mentors or fellow interns—the atmosphere was always very welcoming. I also greatly enjoyed the "club" culture at PFN, participating in the Reading Club and Programming Club, which added a sense of warmth and fun to the professional environment.
インターンに参加して得たもの
First, I gained a profound understanding of the difference between lab research and industrial application. While academic research often operates in idealized conditions to prove a theory, industrial systems must handle real-world noise and complexity, which was a highly educational experience. Second, I learned the importance of "asking the right questions." In a fast-paced R&D environment, proactive communication with mentors and peers helped me unblock technical hurdles much faster than working in isolation.
こんな方には PFN インターンをおすすめします！
I highly recommend the PFN Internship for those who value a flat organizational structure and a free, open atmosphere for technical discussion. If you are looking for a workplace that combines cutting-edge research with warm, engaging community activities, PFN is the perfect place for you. Please don't hesitate to apply!
