Layered measurement, grading and evaluation of pretrained artificial intelligence models

This invention describes a system for checking how well a pre-trained AI model performs. It does this by breaking down the evaluation into different layers, each with specific rules and ways to measure success. The system then runs a series of tests, dynamically adjusting subsequent tests based on earlier results, and shows the scores on a screen. Importantly, the claims specifically focus on evaluating large language models.

Why it matters: Since 2024, the proliferation and complexity of large language models have dramatically increased. This layered, dynamic evaluation method is now even more critical for ensuring their responsible and effective deployment.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, AI evaluation, GUI, API integration

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