Sammamish, WA, United States of America

Abed El Kader Asi

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):

Title: Abed El Kader Asi: Innovator in Language Model Technology

Introduction

Abed El Kader Asi is a prominent inventor based in Sammamish, WA (US). He has made significant contributions to the field of language model technology, holding 2 patents that focus on enhancing the accuracy and reliability of large language models.

Latest Patents

His latest patents include innovative solutions aimed at reducing the likelihood of hallucinations by language models. One patent, titled "Dynamic construction of large language model prompts," discloses methods for injecting a sufficient range and quantity of curated factual data into prompts. This approach minimizes the chances of hallucinations, allowing language models to be utilized in various settings where factual accuracy is crucial. Another patent, "Interpreting summarization model decisions based on attention," describes a model that interprets attention-based decisions of summarization outputs generated by deep learning models. This model identifies primary tokens with the strongest connections to the source text and generates visual cues to explain summary portions effectively.

Career Highlights

Abed El Kader Asi is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies in the realm of artificial intelligence and language processing. His work is instrumental in advancing the capabilities of language models, making them more reliable for practical applications.

Collaborations

He collaborates with notable colleagues, including Roy Eisenstadt and Alexander Tsvetkov, who contribute to the innovative projects at Microsoft Technology Licensing.

Conclusion

Abed El Kader Asi's contributions to language model technology exemplify the impact of innovative thinking in the field of artificial intelligence. His patents not only enhance the functionality of language models but also pave the way for their broader application in various industries.

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