This inventor holds 1 USPTO granted patent. Top assignee: Intuit, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Hadar Lackritz: Innovator in Automated Event Detection
Introduction
Hadar Lackritz is an accomplished inventor based in Hoboken, NJ (US). He has made significant contributions to the field of machine learning and automated event detection. His innovative approach combines retrieval augmented generation with advanced machine learning models to enhance the efficiency of event detection processes.
Latest Patents
Hadar Lackritz holds 1 patent for his invention titled "Retrieval augmented generation guided automated event detection using machine learning models." This patent describes techniques for automated event detection that utilize retrieval augmented generation and machine learning models. The invention involves creating a directed graph for multiple interactive sessions based on their attributes. It also includes generating an embedding of these directed graphs and storing them in a vector database. In response to an input session, the system retrieves relevant embeddings and selects a subset based on prompts provided to a language processing machine learning model. The features of these embeddings are then compared to those of the input session, allowing for actions to be performed based on the comparison.
Career Highlights
Hadar Lackritz is currently employed at Intuit, Inc., where he continues to develop innovative solutions in the realm of technology and machine learning. His work has positioned him as a key player in the advancement of automated event detection systems.
Collaborations
Hadar collaborates with talented individuals such as Linoy Cohen and Eliran Ohel, contributing to a dynamic and innovative work environment.
Conclusion
Hadar Lackritz exemplifies the spirit of innovation in the field of machine learning and automated event detection. His contributions are paving the way for more efficient and effective technological solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile