This inventor holds 1 USPTO granted patent. Top assignee: Google 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: The Innovations of Paul Duetting
Introduction
Paul Duetting is an accomplished inventor based in Bern, Switzerland. He is known for his contributions to the field of generative models, particularly through his innovative patent. His work has significant implications for the aggregation of outputs from various generative models, showcasing his expertise in this cutting-edge area of technology.
Latest Patents
One of Paul Duetting's notable patents is titled "Incentive Aware-Aggregation of Generative Models." This patent focuses on a token aggregator designed to aggregate outputs from multiple generative models. The token aggregator operates on a token-by-token basis, allowing for the aggregation of several weighted generative model outputs to create a joint output. By assigning weights to the token aggregator, it can balance the contributions of different generative model outputs, facilitating the determination of relative weights and contribution amounts, such as bid payments, credits, or points.
Career Highlights
Paul Duetting is currently employed at Google Inc., where he continues to push the boundaries of innovation in technology. His work at Google has allowed him to collaborate with some of the brightest minds in the industry, further enhancing his contributions to the field.
Collaborations
Some of Paul Duetting's notable coworkers include Seyed Vahab Mirrokni and Renato Purita Paes Leme. Their collaborative efforts contribute to the advancement of generative models and the development of innovative solutions in the tech industry.
Conclusion
Paul Duetting's work exemplifies the spirit of innovation in the field of generative models. His patent on incentive-aware aggregation demonstrates his commitment to advancing technology and improving the efficiency of generative processes. His contributions are paving the way for future advancements in this exciting area of research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
