Kirkland, WA, United States of America

Sharon Alpert

This inventor holds 3 USPTO granted patents and 1 EPO patent. Top assignee: Amazon Technologies, Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sharon Alpert. Retrieved from https://idiyas.com/inventor/sharon-alpert-3wsdyhzf

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


% Patents Active = 66.7


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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3 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Sharon Alpert

Introduction

Sharon Alpert is a notable inventor based in Kirkland, WA (US). She has made significant contributions to the field of technology, particularly in the realm of large language models (LLMs). With a total of 3 patents, her work focuses on enhancing user interaction and response accuracy in AI systems.

Latest Patents

One of her latest patents is titled "Constrained directive determination." This patent describes systems and methods that guide an LLM in determining when to initiate a request to a user for clarification and when to execute a determined directive based on an utterance. The system evaluates whether the probability score and/or confidence score of a determined token exceeds respective thresholds. Based on these evaluations, the system decides whether to proceed with the determined tokens or to request clarification from the user.

Another significant patent is "Embedding-based large language model tuning." This invention includes systems and methods for embedding-based LLM tuning, which involves generating a first embedding of received user input data. It utilizes a translation model trained to associate user input with device names to generate a second embedding that differs at least in part from the first embedding. The system generates reference embeddings corresponding to devices associated with user account data and determines a subset of these reference embeddings that meet a threshold similarity to the second embedding. A large language model configured to determine a response to the user input data utilizes data for a subset of devices corresponding to the subset of reference embeddings for performing speech processing.

Career Highlights

Sharon Alpert is currently employed at Amazon Technologies, Inc., where she continues to innovate and develop advanced technologies. Her work has been instrumental in improving the functionality and user experience of AI systems.

Collaborations

Throughout her career, Sharon has collaborated with talented individuals such as Michael Dillon and Eduard Oks. These collaborations have contributed to the successful development of her patented technologies.

Conclusion

Sharon Alpert's contributions to the field of technology, particularly in large language models, demonstrate her innovative spirit and dedication to enhancing user interaction with AI systems. Her patents reflect her commitment to advancing technology and improving user experiences.

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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