Techniques for modifying the operation of neural networks

This invention describes a software system that helps users manage how artificial intelligence models behave. Instead of changing the model's internal structure, the system creates rules to guide its outputs. For example, if the model gives an incorrect answer, the system can generate a rule to prevent that specific output in the future, and users can refine these rules through a code interface.

Why it matters: Filed before the widespread deployment of large, pre-trained AI models where controlling behavior without architectural changes became critical. The invention's rule-based approach to constraining outputs and user-editable guardrails is now highly relevant for managing the safety and alignment of generative AI.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software system

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