Jungsoo Lee

Title: Jungsoo Lee: Innovator in Parameter-Efficient Fine-Tuning

Introduction

Jungsoo Lee is a prominent inventor based in Paju, South Korea. He has made significant contributions to the field of machine learning, particularly in the area of large-scale models. His innovative approach to fine-tuning has garnered attention in the tech community.

Latest Patents

Jungsoo Lee holds a patent for a method titled "Selective Parameter-Efficient Fine-Tuning for Large-Scale Models." This processor-implemented method involves receiving a large language model (LLM) that consists of multiple layers, each with a set of parameters. The method identifies a subset of these parameters to fine-tune for a downstream task based on a score function. An adapter is then applied to the identified subset of parameters, ensuring that only this subset is fine-tuned. This innovative approach allows for more efficient model training and optimization.

Career Highlights

Jungsoo Lee is currently employed at Qualcomm Incorporated, a leading technology company known for its advancements in telecommunications and semiconductor technology. His work at Qualcomm has positioned him at the forefront of innovation in machine learning applications.

Collaborations

Jungsoo collaborates with talented individuals such as Sungha Choi and Jaeseong You. Their combined expertise contributes to the development of cutting-edge technologies in their field.

Conclusion

Jungsoo Lee's contributions to parameter-efficient fine-tuning represent a significant advancement in machine learning. His innovative methods and collaborations continue to shape the future of large-scale models.