Company Filing History:
Years Active: 2025
Title: Sepehr Valipour: Innovator in Large Language Model Tuning
Introduction
Sepehr Valipour is a notable inventor based in Vancouver, Canada. He has made significant contributions to the field of artificial intelligence, particularly in the area of large language model tuning. His innovative work has the potential to enhance user interactions with technology.
Latest Patents
Sepehr Valipour holds a patent for "Embedding-based large language model tuning." This patent describes systems and methods for embedding-based LLM tuning, which includes generating a first embedding of received user input data. The process utilizes a translation model trained to associate user input with device names to generate a second embedding that differs at least in part from the first embedding. Reference embeddings corresponding to devices associated with user account data may be generated, and a subset of the reference embeddings that satisfy a threshold similarity to the second embedding may be determined. A large language model (LLM) configured to determine a response to the user input data may utilize data for a subset of devices that correspond to the subset of the reference embeddings for performing speech processing.
Career Highlights
Sepehr Valipour is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop advanced technologies. His work at Amazon has allowed him to collaborate with some of the brightest minds in the industry.
Collaborations
One of his notable coworkers is Eduard Oks, with whom he collaborates on various projects related to artificial intelligence and machine learning.
Conclusion
Sepehr Valipour is a prominent figure in the field of large language model tuning, with a patent that showcases his innovative approach to enhancing user interactions with technology. His contributions at Amazon Technologies, Inc. highlight his commitment to advancing the field of artificial intelligence.