Porto Alegre, Brazil

Alexandre Salle

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Shopify Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alexandre Salle. Retrieved from https://idiyas.com/inventor/alexandre-salle-lyqjl5e6

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations of Alexandre Salle

Introduction

Alexandre Salle is an accomplished inventor based in Porto Alegre, Brazil. He has made significant contributions to the field of machine learning and language processing. His innovative work focuses on enhancing the accuracy of classifications performed by generative language models.

Latest Patents

Alexandre Salle holds a patent titled "Query clarification based on confidence in a classification performed by a generative language machine learning model." This patent addresses the challenges associated with the probabilistic nature of large language models (LLMs). It emphasizes the importance of confidence values in determining the accuracy of classifications made by these models. The patent aims to mitigate downstream technical problems that arise from incorrect classifications.

Career Highlights

Alexandre is currently employed at Shopify Inc., where he applies his expertise in machine learning to develop innovative solutions. His work at Shopify has allowed him to collaborate with talented professionals in the tech industry.

Collaborations

Some of his notable coworkers include Vesna Brown and Maxwell Dayvson Da Silva. Their collaborative efforts contribute to the advancement of technology and innovation within their projects.

Conclusion

Alexandre Salle's contributions to the field of machine learning and his innovative patent demonstrate his commitment to improving technology. His work continues to influence the development of more accurate and reliable language models.

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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