METHODS AND SYSTEMS FOR DETECTING AND CORRECTING TRENDING PROBLEMS WITH APPLICATIONS USING LANGUAGE MODELS

    公开(公告)号:US20250053496A1

    公开(公告)日:2025-02-13

    申请号:US18232743

    申请日:2023-08-10

    Applicant: VMware, Inc.

    Abstract: This disclosure is directed to automated computer-implemented methods and systems for detecting and correcting a trending problem with an application executing in a data center. The methods receive a new support request entered via a graphical user interface. The methods perform trend discovery of the new support request over recent time windows using a pre-trained and fine-tuned model bidirectional encoder representation from transformer. In response to detecting a trending problem described in the new support request, the method discovers recommended remedial measures for the new support request based on similar support requests previously recorded in a support request data store or on similar knowledge base articles previously recorded in a knowledge base data store. The recommended remedial measures for correcting the trending problem are executed using an operations manager of the data center.

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