Rachit Bansal

Title: Rachit Bansal: An Innovator in Commonsense Contextualization

Introduction: Rachit Bansal is a notable inventor based in New Delhi, India, who has made significant strides in the field of machine learning and natural language processing. With a total of four patents to his name, Rachit's work focuses on enhancing the ability of machines to understand and generate commonsense knowledge effectively, enriching the interaction between humans and technology.

Latest Patents: Rachit's most recent patents reflect his innovative approach to solving complex challenges in machine learning. His first patent, titled "Generating commonsense context for text using knowledge graphs," describes methods and systems for developing a commonsense contextualizing machine learning model. This model is trained by fine-tuning a pre-trained language model with training path-sentence pairs, where each pair comprises a commonsense path from a knowledge graph and a contextually related natural language sentence. Moreover, the trained model facilitates the generation of commonsense inference paths that include entities and relationships to provide context for any given text input.

His second patent, "Language model with external knowledge base," involves technology that processes a natural-language sequence containing multiple entities. The innovative system generates a masked natural-language sequence by concealing an entity and retrieving relevant information from a knowledge base regarding other entities. The outcome is a natural-language model trained to respond effectively to queries, utilizing both masked and retrieved representations.

Career Highlights: Rachit has gained valuable experience working with leading technology firms. He has held positions at Adobe Inc. and Accenture Global Solutions Limited, where he has contributed to various projects focused on machine learning and natural language processing. His work has not only enhanced his expertise but also improved his understanding of real-world applications of his inventions.

Collaborations: Throughout his career, Rachit has had the pleasure of collaborating with talented individuals, including his coworkers Sumit Bhatia and Jivat Neet Kaur. Working alongside such skilled professionals has undoubtedly enriched his innovative pursuits and facilitated the exchange of ideas that drive technological advancement.

Conclusion: Rachit Bansal stands as a forward-thinking inventor in the realm of artificial intelligence and machine learning. His patents are paving the way for more intuitive natural language processing systems that understand commonsense context, ultimately enhancing human-computer interactions. As technology continues to evolve, innovators like Rachit will play a crucial role in shaping the future.