Zurich, Switzerland

Cornelius Ratsch

This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Cornelius Ratsch. Retrieved from https://idiyas.com/inventor/cornelius-ratsch-wxdpqsvg

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Cornelius Ratsch and Patent Innovation in Generative AI.

Introduction

Cornelius Ratsch is an inventor associated with Google Inc. in Zurich, Switzerland. His patent work addresses ways to collect feedback on specific parts of responses generated by large language models.

Latest Patents

Ratsch is associated with 1 patent: “User Feedback for Specific Portions of Responses Generated Using a Large Language Model (LLM).” The invention describes a mechanism that lets users provide feedback on selected portions of a generated response. Those portions may contain text, images, video, audio, or other media. The feedback can then support the training or fine-tuning of a generative model, including through supervised training or reinforcement learning.

Career Highlights

The available information identifies Ratsch’s work with Google Inc. and highlights his contribution to user feedback methods for generative AI systems. The patent focuses on connecting feedback to particular response elements rather than treating an entire response as a single unit.

Collaborations

The patent is associated with Google Inc. The provided information does not specify additional collaborators.

Conclusion

Cornelius Ratsch’s patent describes a targeted feedback approach that could help improve generative models by linking user input to specific text and media within their responses.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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