Jersey City, NJ, United States of America

Mingyue Shang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 15.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovations of Mingyue Shang: Pioneering Token Prediction Technology

Introduction

Mingyue Shang is an accomplished inventor based in Jersey City, NJ, known for his contributions to the field of token prediction technology. With one registered patent to his name, his work has implications for improving user interactions in technology and artificial intelligence.

Latest Patents

Mingyue Shang's recent patent, titled "Constrained Prefix Matching for Generating Next Token Predictions," presents a novel methodology for enhancing how token predictions are generated based on user input. The invention addresses the limitations of traditional token prediction approaches by allowing for the identification of matching possible tokens that correspond with partial tokens. This innovative process ensures that next token predictions more accurately reflect the user's intended input, thereby improving the overall efficiency and user experience in predictive text applications.

Career Highlights

Mingyue Shang is currently employed at Amazon Technologies, Inc., where he leverages his expertise to drive advancements in artificial intelligence and machine learning. His dedication to innovation and technology development has positioned him as a pivotal figure within the company, contributing to its reputation as a leader in technological advancements.

Collaborations

Throughout his career, Mingyue has collaborated with talented professionals like Praphruetpong Athiwaratkun and Yuchen Tian. Their collective efforts have fostered an environment of creativity and innovation within the technology sector, yielding significant advancements in predictive text technologies.

Conclusion

Mingyue Shang's contributions to the field of token prediction technology reflect his commitment to advancing the capabilities of AI and enhancing user experiences. With his innovative approach to constrained prefix matching, he is set to make a lasting impact in the realm of predictive text technologies and beyond.

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