Zurich, Switzerland

Igor Petrovski

USPTO Granted Patents = 3 

Average Co-Inventor Count = 16.3

ph-index = 2

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2024-2025

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Igor Petrovski: Innovator in Multimedia Content Management

Introduction

Igor Petrovski is a notable inventor based in Zurich, Switzerland. He has made significant contributions to the field of multimedia content management, particularly in relation to large language models and generative models. With a total of 3 patents to his name, Petrovski is recognized for his innovative approaches to managing multimedia content.

Latest Patents

One of Igor Petrovski's latest patents focuses on multimedia content management for large language models and other generative models. This invention involves systems that can receive natural language-based input requesting multimedia content. The processors within these systems generate responses that are responsive to the input and facilitate the rendering of these responses. The technology utilizes large language models to process input and generate output, determining which multimedia content should be included in the response. If certain multimedia content is deemed unsuitable, the system can provide alternative multimedia or textual content instead.

Career Highlights

Igor Petrovski is currently employed at Google Inc., where he continues to develop and refine his innovative ideas. His work at Google has allowed him to collaborate with cutting-edge technologies and contribute to advancements in artificial intelligence and multimedia management.

Collaborations

Some of Igor's notable coworkers include Oscar Akerlund and Evgeny Sluzhaev. Their collaborative efforts have further enhanced the development of innovative solutions in their respective fields.

Conclusion

Igor Petrovski stands out as a key figure in the realm of multimedia content management, with his patents reflecting a deep understanding of large language models and generative technologies. His contributions are paving the way for future innovations in this exciting field.

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