Ryan De Marigny

Title: Ryan De Marigny: Innovator in Training Content Labeling Models

Introduction

Ryan De Marigny is an accomplished inventor based in Fresno, California. He has made significant contributions to the field of training content labeling models, showcasing his innovative spirit and technical expertise. With a focus on generating policy labels, his work has the potential to impact various industries.

Latest Patents

Ryan De Marigny holds a patent for a method that generates policy labels through characteristic questions. This method identifies examples from a searchable database, generating first policy labels for each characteristic question. It also creates a content set of search results based on search terms derived from these questions. The method employs a Multimodal Large Language Model (MLLM) to generate characteristic labels and trains a classifier model based on the content set and second policy labels. This innovative approach allows for the generation of policy labels for media content using the trained classifier model. He has 1 patent to his name.

Career Highlights

Ryan is currently employed at Zefr, Inc., where he continues to develop and refine his innovative methods. His work at Zefr has positioned him as a key player in the field of content labeling and policy generation.

Collaborations

Ryan collaborates with talented individuals such as Jonathan Morra and Zachary McPherson, contributing to a dynamic and innovative work environment.

Conclusion

Ryan De Marigny is a notable inventor whose work in training content labeling models demonstrates his commitment to innovation. His contributions are paving the way for advancements in policy generation and content classification.