An AI system must have no hidden processes. All steps from input to output must be visible. A developer must use code to check every step, not visual tools.
By Pawan Nayar · from the LLOS AI Learning record
An AI system must have no hidden processes.
All steps from input to output must be visible. A developer must use code to check every step, not visual tools.
A developer needs to show every part of an AI system's work. This includes how information is taken in. It also includes how prompts are made. The system must show how it gathers data. Finally, it must show how it checks its own output. This way, a person can always see what the AI is doing. This helps to find and fix mistakes quickly.
A developer builds an AI that answers questions from a document. The developer creates a dashboard. This dashboard shows the original document's structure. It shows the exact questions sent to the AI. It shows the AI's steps to find answers. If the AI makes a mistake, the dashboard helps the developer see where the error happened.
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When an AI model's prompt changes, new ideas are often added. These new ideas help the AI model work better.
A developer must check how the AI model shows information. This includes text, images, and interactive parts.
A developer must first generate only three questions using the AI model's API. Each question must pass all validation checks without errors or warnings.
The 'sacred workflow' is a set of mandatory rules for an AI model. It starts with 'sacred input detection'.
An AI system must have no hidden processes. All steps from input to output must be visible. A developer must use code to check every step, not visual tools.