Linoy Cohen

Title: Linoy Cohen: Innovator in Language Model Technologies

Introduction

Linoy Cohen is a prominent inventor based in Petah Tikva, Israel. She has made significant contributions to the field of language model technologies, holding 2 patents that showcase her innovative approach to improving language processing systems.

Latest Patents

Cohen's latest patents include "Language model improvement through automated prompt engineering." This invention focuses on generating an alignment score for a test language model using input data that consists of various triplet data structures. The method identifies fail triplet data structures when the alignment score does not meet a specified threshold. A judge language model is then executed to determine the type of misalignment produced by the test language model. This process leads to the generation of an enhanced prompt that addresses the identified issues.

Another notable patent is "Large language model ensemble for combinatorial retrieval in one-to-many matching tasks." This method involves executing a matching language model for many-to-one matching tasks, even when the number of tokens exceeds the model's token limit. By applying a rule-based application and a sorting language model, Cohen's approach effectively reduces the number of tokens and evaluates candidate matching sets to return a selected matching set that aligns with the target entry.

Career Highlights

Linoy Cohen is currently employed at Intuit, Inc., where she continues to develop innovative solutions in language modeling. Her work has garnered attention for its practical applications and contributions to the advancement of artificial intelligence technologies.

Collaborations

Cohen collaborates with Shon Mendelson, a talented coworker who brings her expertise to their joint projects. Together, they work on enhancing language models and exploring new methodologies in the field.

Conclusion

Linoy Cohen's contributions to language model technologies reflect her dedication to innovation and problem-solving. Her patents demonstrate a commitment to advancing the capabilities of language processing systems, making her a notable figure in the field.