Bengaluru, India

Nagaraj N Bhat

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.5

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Nagaraj N Bhat

Introduction

Nagaraj N Bhat is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning and language modeling. With a total of 2 patents, his work focuses on enhancing the capabilities of language models through innovative techniques.

Latest Patents

Nagaraj's latest patents include a "Framework for focused training of language models" and "Techniques for end-to-end hypertuning of the framework." These techniques involve methods for obtaining a pre-trained machine learning model and post-training it for various tasks. The process includes training on both unlabeled and labeled sets of training data, which are crucial for generating a focused machine learning model. Additionally, he has developed an "Aspect prompting framework for language modeling," which dynamically creates contextual prompts based on relevant aspects extracted from training data. This innovative approach enhances the training of machine learning language models, allowing them to predict solutions for specific tasks effectively.

Career Highlights

Nagaraj N Bhat is currently employed at Oracle International Corporation, where he continues to push the boundaries of technology in machine learning. His work is instrumental in advancing the capabilities of language models, making them more efficient and effective for various applications.

Collaborations

Some of Nagaraj's notable coworkers include Poorya Zaremoodi and Cong Duy Vu Hoang. Their collaborative efforts contribute to the innovative environment at Oracle, fostering advancements in technology.

Conclusion

Nagaraj N Bhat's contributions to the field of machine learning and language modeling are noteworthy. His innovative patents and work at Oracle International Corporation highlight his commitment to advancing technology. His efforts continue to shape the future of language processing and machine learning applications.

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