Eliot P Brenner

Title: Eliot P Brenner: Innovator in Generative Machine Learning

Introduction

Eliot P Brenner is a notable inventor based in Westfield, NJ (US). He has made significant contributions to the field of generative machine learning, showcasing his innovative spirit through his patented work.

Latest Patents

Eliot holds a patent for a method titled "Generative machine learning with retriever having reconfigurable sequence of rankers." This method involves obtaining an input query at a retriever model, which includes a reconfigurable sequence of one or more rankers selected from a plurality of rankers. Each ranker is designed to identify a specified number of information chunks relevant to the input query. The method further includes providing one or more of the information chunks from the retriever model to a generative model, which is then used to create a response based on the information chunks. The rankers in this method include a bi-encoder, a cross-encoder, and a large language model (LLM)-ranker. Eliot's innovative approach has led to the development of a unique solution in the realm of machine learning.

Career Highlights

Eliot is currently employed at Goldman Sachs & Co. LLC, where he applies his expertise in machine learning and data analysis. His work at this prestigious financial institution allows him to contribute to cutting-edge projects that leverage technology for improved financial services.

Collaborations

Eliot has collaborated with talented individuals such as Koustuv Dasgupta and Dinesh Gupta. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Eliot P Brenner is a distinguished inventor whose work in generative machine learning exemplifies the intersection of technology and creativity. His contributions continue to influence the field and inspire future innovations.