Managing data processing system failures using hidden knowledge from predictive models for failure response generation

A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor of a data processing system manager configured to manage data processing systems, cause the data processing system manager to perform operations for managing failures of the data processing systems, the operations comprising:

• generating a structured knowledge labeled dataset using:
• one or more structured knowledge attributes stored in a structured knowledge repository, the one or more structured knowledge attributes being extracted from an architecture of a trained machine learning model, the architecture controls how the trained machine learning model generates inferences, and
• one or more failure prediction prompts stored in a failure prediction prompt library;
• fine-tuning an inference model using the structured knowledge labeled dataset to obtain a trained inference model;
• using the trained inference model to generate a failure prediction response, the failure prediction response comprising a failure prediction and a portion of the one or more structured knowledge attributes that provide for interpretability of the failure prediction, the failure prediction being one of the inferences;
• and
• providing the failure prediction response to a user
• wherein prior to generating the structured knowledge labeled dataset, the operations further comprise:
• extracting, using one or more techniques comprising explainable artificial intelligence (AI) techniques, the one or more structured knowledge attributes from the architecture of trained machine learning model;
• and
• storing the one or more structured knowledge attributes extracted from trained machine learning model into the structured knowledge repository.

A data processing system manager, comprising:

• a processor;
• and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the data processing system manager to perform operations for managing failures of data processing systems of the data processing systems, the operations comprising:
• generating a structured knowledge labeled dataset using:
• one or more structured knowledge attributes stored in a structured knowledge repository, the one or more structured knowledge attributes being extracted from an architecture of a trained machine learning model, the architecture controls how the trained machine learning model generates inferences, and
• one or more failure prediction prompts stored in a failure prediction prompt library;
• fine-tuning an inference model using the structured knowledge labeled dataset to obtain a trained inference model;
• using the trained inference model to generate a failure prediction response, the failure prediction response comprising a failure prediction and a portion of the one or more structured knowledge attributes that provide for interpretability of the failure prediction, the failure prediction being one of the inferences;
• and
• providing the failure prediction response to a user
• wherein prior to generating the structured knowledge labeled dataset, the operations further comprise:
• extracting, using one or more techniques comprising explainable artificial intelligence (AI) techniques, the one or more structured knowledge attributes from the architecture of trained machine learning model;
• and
• storing the one or more structured knowledge attributes extracted from trained machine learning model into the structured knowledge repository.