Generative AI Pipeline for Extracting Insights from Unstructured Creative Data and Tagging and Categorizing Same

Abstract

A method might comprise obtaining a multimedia content object, determining a set of prompts for input into a trained ML model, the set of prompts configured to result in the trained ML model generating an output data targeted structure, combining the set of prompts into a singular prompt data object, and applying the singular prompt data object and the multimedia content object to the trained ML model to generate, as an output of the trained ML model, an output data object according to the output data targeted structure. Content might be extracted from a content object using a multimodal large language model by receiving an unstructured multimedia content input comprising the content object, and processing the content object using a single natural language prompt, the single natural language prompt providing, to the multimodal large language model, instructions for extracting human-readable and/or machine-processable structured information from the content object.

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