This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Cisco Technology, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations of Robert Riachi in Machine Learning
Introduction
Robert Riachi is an accomplished inventor based in Santa Clara, CA. He has made significant contributions to the field of machine learning, particularly in the area of training data generation using generative artificial intelligence and user feedback. His innovative approach has the potential to enhance the efficiency and accuracy of machine learning models.
Latest Patents
Robert Riachi holds a patent for a machine learning model training system that utilizes user input in the form of natural language descriptions. This system packages and transmits the descriptions as prompts to multiple large learning models (LLMs). The responses from these LLMs, which translate the natural language descriptions into executable search queries, are displayed to users through a graphical user interface. The system also collects user feedback regarding the accuracy and preference of the translations, which is then used to generate training data for further model training.
Career Highlights
Robert Riachi is currently employed at Cisco Technology, Inc., where he continues to develop innovative solutions in machine learning. His work focuses on improving the interaction between users and machine learning systems, making them more intuitive and effective.
Collaborations
Robert collaborates with talented individuals such as Vedant Dharnidharka and Abraham Starosta. Together, they work on advancing technologies that leverage artificial intelligence for practical applications.
Conclusion
Robert Riachi's contributions to machine learning through his innovative patent demonstrate his commitment to enhancing technology. His work at Cisco Technology, Inc. and collaborations with skilled colleagues further highlight his impact in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
