Machine learning model modification and natural language processing

This invention describes a computer system that helps machine learning models stay up-to-date. It uses a knowledge graph, which is like a structured database of facts, to understand natural language input. When the system finds information in the knowledge graph that a machine learning model doesn't know, it uses that new information to update and improve the model's understanding.

Why it matters: Filed before the widespread adoption of large language models (LLMs), which are themselves machine learning models that benefit greatly from continuous knowledge updates. The ability to automatically identify and integrate new knowledge from natural language into an existing model's structure is now more critical and achievable with advanced NLP techniques.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, AI, NLP, knowledge graphs.

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