Actioning classification of a telecommunications network call

Abstract

A call is classified in a telecommunications network. A transcript of the call is accessed and an embedding vector of the transcript is computed. A database of embedding vectors is searched for a first embedding vector with a defined degree of similarity to the embedding vector of the transcript. Each embedding vector represents an example text associated with a known classification. A first prompt is constructed that comprises: an instruction directed to a large-language model to classify the call using a first example; the transcript; and the first example that includes example text represented by the first embedding vector and the associated known classification. The techniques further comprise prompting the large-language model with the first prompt; receiving a response to the first prompt from the large-language model, comprising a classification of the call; and, in response to the classification meeting a criterion, initiating an action at the telecommunications network.