This inventor holds 1 USPTO granted patent and 1 published patent application. 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: Toby Boyd: Innovator in Generative Models
Introduction
Toby Boyd is a notable inventor based in Columbus, OH (US). He has made significant contributions to the field of generative models, particularly in enhancing computational efficiencies. His work is recognized for its potential to improve response generation in various applications.
Latest Patents
Toby Boyd holds a patent titled "Dynamic selection from among multiple candidate generative models with differing computational efficiencies." This patent discloses methods for selecting a particular generative model from multiple candidates, which can include large language models (LLMs). The implementations aim to reduce latency and conserve computational resources by choosing a more efficient model for generating responses. Additionally, the patent addresses the need to utilize less efficient models selectively to ensure the accuracy and specificity of generated responses. This approach helps mitigate computational and network inefficiencies that may arise from follow-up requests due to inaccuracies.
Career Highlights
Toby Boyd is currently employed at Google Inc., where he continues to innovate in the field of artificial intelligence and machine learning. His work focuses on improving the efficiency and effectiveness of generative models, which are increasingly important in various technological applications.
Collaborations
Toby collaborates with Seungyeon Kim, a fellow innovator in the field. Their partnership contributes to the advancement of generative model technologies and enhances the capabilities of the systems they work on.
Conclusion
Toby Boyd is a prominent inventor whose work in generative models is paving the way for more efficient computational practices. His contributions are vital in the ongoing evolution of artificial intelligence technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
