NEC Corporation Of America (20240378128). COMPUTER RESOURCE MONITORING BY PROCESSING IMAGES USING A MODEL COMPRISING LARGE LANGUAGE MODELS simplified abstract

From WikiPatents
Revision as of 06:40, 21 November 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

COMPUTER RESOURCE MONITORING BY PROCESSING IMAGES USING A MODEL COMPRISING LARGE LANGUAGE MODELS

Organization Name

NEC Corporation Of America

Inventor(s)

Tsvi Lev of Tel-Aviv (IL)

COMPUTER RESOURCE MONITORING BY PROCESSING IMAGES USING A MODEL COMPRISING LARGE LANGUAGE MODELS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240378128 titled 'COMPUTER RESOURCE MONITORING BY PROCESSING IMAGES USING A MODEL COMPRISING LARGE LANGUAGE MODELS

The abstract describes a system and method for classifying images related to computer resource usage using a combination of close-ended questions and a neural network language model. This technology can be utilized to monitor and enforce computer usage policies in various sectors such as industrial organizations, government services, academia, and more.

  • Ensemble of close-ended questions and neural network language model used for image classification
  • Application in monitoring and enforcing computer usage policies in different sectors
  • Potential aid in maintaining productivity and security in organizations
  • Utilization of advanced technology for efficient classification and monitoring
  • Potential for enhancing compliance with computer usage regulations
    • Potential Applications:**

This technology can be applied in industrial organizations, government agencies, educational institutions, and other sectors where monitoring and enforcing computer usage policies is essential.

    • Problems Solved:**

This technology addresses the need for efficient monitoring and enforcement of computer usage policies to ensure productivity and security in various organizations.

    • Benefits:**

The technology offers a systematic approach to classifying images related to computer resource usage, thereby aiding in the effective implementation of computer usage policies in different sectors.

    • Commercial Applications:**

The technology can be commercialized as a tool for organizations to enhance their monitoring and enforcement of computer usage policies, potentially leading to increased productivity and security.

    • Questions about the Technology:**

1. How does the system classify images based on computer resource usage? 2. What are the potential implications of using this technology in industrial organizations?


Original Abstract Submitted

a system and a method for classifying images pertaining to computer resource usage of a user, using an ensemble of close ended questions and a neural network based language model. the method may be used to as aid to monitor and/or enforce computer usage policies in industrial organizations. government services, academy. education, and/or the like.