Company Filing History:
Years Active: 2020-2023
Title: Inigo Casanueva Perez: Innovator in Dialogue Systems
Introduction
Inigo Casanueva Perez is a notable inventor based in London, GB. He has made significant contributions to the field of dialogue systems, holding a total of 4 patents. His work focuses on methods that enhance the interaction between users and dialogue systems, making them more efficient and effective.
Latest Patents
Among his latest patents, Inigo has developed innovative methods for obtaining responses from dialogue systems. One of his key inventions involves a method of obtaining a response to a user-inputted query. This method includes several steps: receiving a user inputted query, representing it as a sequence of embedding vectors using a first model, and encoding these vectors to produce a context vector with a second model. The process also involves retrieving responses with associated response vectors, scoring these vectors against the context vector, and outputting the responses with the closest response vectors. Notably, the first model is designed to segment the user input into a sequence of units from a vocabulary, which includes incomplete words, and utilizes parameters stored with eight bits per parameter. The second model is trained to maximize the similarity between the response vector and context vector for corresponding queries and responses.
Career Highlights
Inigo Casanueva Perez is currently employed at Polyai Limited, where he continues to push the boundaries of dialogue system technology. His work is characterized by a commitment to improving user experience through advanced methodologies in artificial intelligence.
Collaborations
Inigo collaborates with talented individuals such as Matthew Steedman Henderson and Pei-Hao Su, contributing to a dynamic and innovative work environment.
Conclusion
Inigo Casanueva Perez is a prominent figure in the field of dialogue systems, with a focus on enhancing user interaction through his patented methods. His contributions are paving the way for more advanced and responsive dialogue systems in the future.
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