Techniques for creating, analyzing, and modifying neural networks

This invention describes a software tool designed to help understand how artificial neural networks function. It works by running the network with different inputs, capturing the internal activity, and then comparing these internal activities to determine how similar they are. If the internal activities are sufficiently alike, the tool concludes that the input data corresponds.

Why it matters: Filed before the widespread adoption of large, complex neural networks like LLMs. The need for tools to analyze and explain the internal workings of such models, as described in the claims, has become significantly more urgent and valuable.

Status: Not in forceListed as no longer active.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

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