This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Isaac New Yi Qing: Innovator in Machine Learning
Introduction
Isaac New Yi Qing is a prominent inventor based in Singapore, known for his contributions to the field of machine learning. He has developed innovative methods that enhance the deployment of machine learning models, particularly through the use of large language models and few-shot learning techniques. His work is paving the way for more efficient and effective machine learning applications.
Latest Patents
Isaac holds a patent titled "Deployment of machine learning models using large language models and few-shot learning." This patent encompasses methods, systems, and computer-readable storage media that provide a set of training metrics determined using test data during a training phase. It also includes the generation of few-shot examples using these metrics, which are then inputted to a large language model (LLM) as prompts. The process culminates in displaying recommendations to users based on queries, allowing for the deployment of user-selected machine learning models to an inference runtime for production use. He has 1 patent to his name.
Career Highlights
Isaac is currently employed at SAP SE, where he continues to innovate and contribute to advancements in machine learning technologies. His work at SAP SE allows him to collaborate with other talented professionals in the field, further enhancing the impact of his inventions.
Collaborations
Isaac has worked alongside notable colleagues such as Rajesh Vellore Arumugam and Anantharaman Ravi. Their collaborative efforts have contributed to the development of cutting-edge solutions in machine learning.
Conclusion
Isaac New Yi Qing is a significant figure in the realm of machine learning, with a focus on improving the deployment of models through innovative techniques. His contributions are shaping the future of technology in this field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
