Enhanced generation of formatted and organized guides from unstructured spoken narrative using large language models

Abstract

The disclosed techniques provide enhanced generation of formatted and organized guides from unstructured spoken narrative using a large language model. A system uses unstructured verbal narrative as input in place of written input. The system uses a large language model to organize an unstructured narrative into a structured guide that follows specific formatting requirements. For example, the formatting requirements may define specific headers, steps, bullets, image locations, etc. The formatting requirements may also define category requirements. For example, category requirements may indicate that a structured guide is to include a title, topics for each header, etc. The system can also suggest new categories, relevant explanations, additional image locations, and other references the author may not have considered. The process is automated, resulting in a complete guide having a consistent structure in a particular format.