An AI model's output must always meet high quality standards. Do not allow a lower quality version to be accepted if the best quality is not available. Each output must pass strict checks before it is used.
By Pawan Nayar · from the LLOS AI Learning record
An AI model's output must always meet high quality standards.
Do not allow a lower quality version to be accepted if the best quality is not available. Each output must pass strict checks before it is used.
The AI model must have clear rules for what is acceptable. These rules are called 'quality gates.' If an output does not pass these gates, it is rejected. There is no 'fallback' to a lower quality option. This means only the best work is ever used.
A designer uses an AI model to create many logo ideas. The AI model has rules for unique shapes and clear designs. If the AI model creates a logo that is too similar to another, or not complex enough, the AI model rejects it. The designer only sees high-quality, distinct options.
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An AI model should check each part of its output. For example, if there is a list of key phrases, the AI model must confirm each phrase is in the main text.
After any content generation or build, the AI model must check the output. This check goes beyond just seeing if the script finished.
A developer must define clear rules before an AI model generates text. These rules include common mistakes to avoid.
**What was seen** TextStock's "fill depth" (how many words are packed into the shape) could not go below 1000. Every stock came out dense; a sparse, readable one was unreachable.
An AI model's output must always meet high quality standards. Do not allow a lower quality version to be accepted if the best quality is not available. Each output must pass strict checks before it is used.