This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Shopify Inc.. 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: Christopher Bullock: Innovator in Machine Learning Classification
Introduction
Christopher Bullock is an accomplished inventor based in Wellington, California. He has made significant contributions to the field of machine learning, particularly in the area of classification using large language models. His innovative approach addresses the challenges associated with the probabilistic nature of machine learning outputs.
Latest Patents
Christopher Bullock holds a patent for "Additional searching based on confidence in a classification performed by a generative language machine learning model." This patent focuses on utilizing a large language model (LLM) to classify inputs into various categories. The invention acknowledges that the output of the LLM is based on probability computations, which may lead to incorrect classifications. By incorporating confidence values associated with the LLM's output, the invention aims to mitigate downstream technical problems caused by misclassifications.
Career Highlights
Christopher Bullock is currently employed at Shopify Inc., where he applies his expertise in machine learning and classification. His work at Shopify reflects his commitment to advancing technology and improving user experiences through innovative solutions.
Collaborations
Christopher collaborates with talented individuals such as Alexandre Salle and Maxwell Dayvson Da Silva. Their combined efforts contribute to the development of cutting-edge technologies in the field of machine learning.
Conclusion
Christopher Bullock is a notable inventor whose work in machine learning classification has the potential to enhance the accuracy and reliability of generative language models. His contributions are paving the way for future innovations in this rapidly evolving field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
