Improved method for generating patent text using large language models and structured data concepts

Abstract

A system for generating long-form documents using large language models (LLMs) includes a memory, a processor programmed to operate a software comprising a text description input component configured to collect a text description of an idea, a data structure conversion component configured to convert the text description of the idea into a data structure of concepts, an augmentation component configured to augment the data structure of concepts to add concepts and clarify concepts, and a document generation component configured to generate high quality long-form documents using the data structure of concepts in the AI prompts of the LLM. The system enables the creation of detailed and coherent documents, such as patent applications, based on the input text description and the data structure of concepts.

Dependencies are inferred from the claim text.