This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. 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: Ronen Eldan: Innovator in Quality Assurance for Digital Technologies
Introduction
Ronen Eldan is a notable inventor based in Seattle, WA (US). He has made significant contributions to the field of digital technologies, particularly in the area of quality assurance using advanced artificial intelligence and machine learning systems. His innovative approach has the potential to enhance the reliability and effectiveness of software testing processes.
Latest Patents
Ronen Eldan holds a patent titled "Quality assurance for digital technologies using large language models." This patent outlines systems and methods for implementing quality assurance through language model-based AI and machine learning systems. In various embodiments, a first prompt is provided to an LM actor or attacker to generate interaction content for testing software. The responses from the test software are evaluated by an LM evaluator to produce evaluation results. A second prompt, which includes the responses and evaluation criteria, is then used to generate further evaluation results.
Career Highlights
Ronen Eldan is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in digital technologies. His work focuses on integrating AI and machine learning into quality assurance processes, which is crucial for ensuring the reliability of software products.
Collaborations
Ronen has collaborated with notable colleagues such as Sébastien Bubeck and Yi Zhang. Their combined efforts contribute to advancing the field of digital technology and quality assurance.
Conclusion
Ronen Eldan's innovative work in quality assurance for digital technologies showcases the importance of integrating AI and machine learning into software testing. His contributions are paving the way for more reliable digital solutions in the tech industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
