Lawndale, CA, United States of America

Kshitij Mishra

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Kshitij Mishra: Innovator in Language Model Technologies

Introduction

Kshitij Mishra is a prominent inventor based in Lawndale, CA (US). He has made significant contributions to the field of artificial intelligence, particularly in the development of systems and methods for updating large language models (LLMs). His innovative approach addresses the challenges associated with correcting undesired responses generated by these models.

Latest Patents

Kshitij Mishra holds 1 patent for his work titled "Systems and methods for updating large language models." This patent describes techniques for efficiently updating LLMs to correct issues such as incorrect or toxic outputs. Traditional methods of retraining and fine-tuning are often inefficient and computationally expensive. Mishra's approach involves identifying a salient layer of the LLM responsible for undesired responses and editing only that layer. By computing a saliency value for each layer, he selects the one with the greatest value for editing. A small network is then used to update the weights of the selected layer, resulting in a more efficient LLM for future processing.

Career Highlights

Kshitij Mishra is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of language model technology. His work has garnered attention for its innovative solutions to complex problems in AI.

Collaborations

Mishra collaborates with notable colleagues, including Tamer Soliman and Aram Galstyan. Their combined expertise contributes to the advancement of technologies in the field of artificial intelligence.

Conclusion

Kshitij Mishra is a key figure in the innovation of language model technologies, with a focus on improving the efficiency and accuracy of AI systems. His contributions are paving the way for more reliable and effective applications of large language models in various industries.

Profile summary based on public USPTO records.
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