Jason Anthony Peck

Title: The Innovations of Jason Anthony Peck

Introduction

Jason Anthony Peck is an accomplished inventor based in Andover, MA (US). He has made significant contributions to the field of machine learning, holding 2 patents that showcase his innovative approach to data augmentation and language model evaluation.

Latest Patents

One of his latest patents is titled "Guided augmentation of data sets for machine learning models." This patent discloses techniques for augmenting data sets used for training machine learning models and generating predictions. The methods aim to increase the number and diversity of examples within an initial training dataset by extracting a subset of words from existing sentences. This approach is particularly beneficial in few-shot situations, as it conserves scarce sample data by training a data generation model using general data from a broader source.

Another notable patent is "Evaluating language models using negative data." This method involves accessing a first language model trained on a specific corpus and a second language model designed to produce less grammatical outputs. The process includes training the second model with a different corpus and generating output text, which is then used to test the first language model. This innovative evaluation method enhances the understanding of language model performance.

Career Highlights

Jason currently works at Oracle International Corporation, where he continues to develop cutting-edge technologies in machine learning. His work has positioned him as a key player in the tech industry, contributing to advancements that impact various applications.

Collaborations

Throughout his career, Jason has collaborated with talented individuals such as Michael Louis Wick and Ariel Gedaliah Kobren. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Jason Anthony Peck's contributions to machine learning through his patents and work at Oracle International Corporation highlight his role as a leading inventor in the field. His innovative techniques for data augmentation and language model evaluation are paving the way for future advancements in technology.