Sunnyvale, CA, United States of America

Satyaki Chakraborty

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Satyaki Chakraborty. Retrieved from https://idiyas.com/inventor/satyaki-chakraborty

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Satyaki Chakraborty: Inventor in Artificial Intelligence

Introduction

Satyaki Chakraborty is an inventor based in Sunnyvale, California, United States. His patent work concerns methods for retraining large language models using feedback about generated responses.

Latest Patents

Chakraborty is associated with 1 patent, titled “Retraining a Large Language Model.” The invention receives an indication that a response generated by a first artificial intelligence language model has a problem. The first model generates one or more modified responses, which are provided along with some or all of the turn-based conversation to a second AI language model. The first model is then retrained based in part on the second model’s output.

Career Highlights

Chakraborty works at Character Technologies Inc. His patent reflects work on improving language-model responses through conversational context and feedback from another AI model.

Collaborations

His listed coworkers include Landon Jonquiere Brittan Smith and Te-Lin Wu. The patent’s described process also involves a second AI language model that contributes output used in retraining the first model.

Conclusion

Satyaki Chakraborty’s patent work at Character Technologies Inc. focuses on a feedback-based approach to retraining language models and improving 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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