Hallucination Detection

This invention describes a way to check if an AI's response is making things up. It works by giving the AI a message and asking it to find specific information within that message. The system then checks if the information the AI says it found actually exists in the original message you gave it, flagging anything not present as potentially hallucinated.

Why it matters: Filed as LLMs gained prominence, by 2026 their widespread integration means even basic factual checks against source material are crucial. The method's simplicity, focusing on content not present in the original message, could be a strength for rapid deployment in specific use cases where source fidelity is paramount.

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

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