Document classification using large language models

This invention describes a way to sort documents by asking a large language model a series of specific, yes/no questions about the text. The answers from the language model are then processed by either another machine learning system or a set of predefined rules to make the final classification decision.

Why it matters: Filed when LLM integration was maturing. LLM reliability and cost for structured classification have improved.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, LLM integration, and training

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