Statistische Verfahren und Grosse Sprachmodelle zur Grundursachenanalyse

Details

Veröffentlichungs-Nr.

EP4770028

Anmeldetag

22. Dezember 2025

Veröffentlichung

1. Juli 2026

Rechtsraum

EP

Abstract

Techniques are disclosed for using prompt engineering and statistical root cause analysis (RCA) to increase the accuracy of machine learning RCA. In an example, a computing system generates a prompt for root cause analysis of an application-layer anomaly within system of elements across a plurality of layers. The prompt comprises a cross-layer topology graph of the elements across the plurality of layers, diagnostics information for the elements, and a list of the elements and corresponding diagnostics information ordered according to a likelihood of being a source of a root cause of the application-layer anomaly. The computing system provides the generated prompt to a machine learning model to obtain, based at least in part on the generated prompt, a response comprising the root cause of the application-layer anomaly. The computing system outputs the response.

Anmelder

Firma

Juniper Networks, Inc.

Land

🇺🇸 USA