Amherst, MA, United States of America

Katherine Silverstein

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.6

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019-2025

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3 patents (USPTO):Explore Patents

Title: Katherine Silverstein: Innovator in Language Model Training

Introduction

Katherine Silverstein is a prominent inventor based in Amherst, MA (US). She has made significant contributions to the field of language modeling, holding a total of 3 patents. Her innovative work focuses on improving the training processes of language models, which are essential in various applications of artificial intelligence.

Latest Patents

Katherine's latest patents include groundbreaking methods for enhancing language models. One of her patents, titled "Removing undesirable signals from language models using negative data," outlines a method for training a language model that utilizes both positive and negative training data. This approach aims to maximize the model's ability to predict positive data while minimizing the likelihood of predicting negative data. Another notable patent is "Framework for focused training of language models and techniques for end-to-end hypertuning of the framework." This patent describes techniques for post-training a pre-trained machine learning model to generate a focused model tailored for specific tasks.

Career Highlights

Katherine Silverstein is currently employed at Oracle International Corporation, where she continues to develop innovative solutions in the realm of language processing. Her work at Oracle has positioned her as a key player in advancing the capabilities of language models, contributing to the company's reputation as a leader in technology.

Collaborations

Katherine collaborates with talented individuals such as Michael Louis Wick and Adam Pocock. These partnerships enhance her research and development efforts, fostering an environment of innovation and creativity.

Conclusion

Katherine Silverstein's contributions to language model training exemplify her dedication to innovation in technology. Her patents reflect a deep understanding of machine learning and its applications, making her a valuable asset in the field.

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