Neural network prompt tuning

This invention describes a computer system designed to choose the most reliable output from several pre-trained AI models. It makes this choice by analyzing how much the different inputs fed into those models vary. The system is specifically designed to work with inputs such as images or text prompts.

Why it matters: The rapid proliferation of diverse pre-trained neural networks and the increasing complexity of prompt engineering since 2023 make automated consistency selection more valuable. This approach could address the growing challenge of obtaining reliable outputs from varied AI model inputs.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedAI/ML software development, pre-trained neural networks

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