PRE-TRAINED LARGE INFORMATION TECHNOLOGY HOLISTIC INFRASTRUCTURE UBIQUITOUS MODELS

原文（中文）

One example method is for constructing and pre-training a model of an information technology (IT) infrastructure, and includes creating a model of the IT infrastructure by, generating a KG (knowledge graph) representation of IT infrastructure data, serializing information flows within the KG to generate serialized information flows, and pre-processing the serialized information flows to improve a quality of the IT infrastructure data relative to a quality of the IT infrastructure data prior to the pre-processing, and pre-training the model, including training the model to capture a structure of both natural language and IT infrastructure flow by predicting, without hallucinations, tokens and identities of the IT infrastructure, providing customizations to enable the model to correctly predict the identities, and pre-training the model with causal modeling when identities are unknown in one of the information flows.