An AI model must follow all given rules exactly. The AI model must not make its own choices about style or content. The AI model must only use information from approved sources.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must follow all given rules exactly.
The AI model must not make its own choices about style or content. The AI model must only use information from approved sources.
A developer must give an AI model clear rules. The AI model must act as a literal file generator. The AI model must not assume or interpret anything. The AI model must follow a framework 100%. The AI model must not try to be helpful beyond the rules. The AI model must only use approved source files for styles and components. If a style is not in those files, it does not exist. The AI model must avoid forbidden actions. The AI model must follow content and quality rules. The AI model must use the correct HTML structure and meta tags.
A developer asks an AI model to create an HTML page. The developer provides a list of allowed CSS styles and a framework. The AI model adds a new color not in the framework. This is a critical error because the AI model did not follow the rules exactly.
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An AI model can generate a large glossary by using a multi-pass data pipeline. Each pass focuses on different content.
An AI model must always read a specific set of files. These files include 'mistakes_and_lessons.md'.
An AI model must read `mistakes_and_lessons.md` first. This file contains rules learned from past problems.
A developer should not create new ways to do things. The existing process works well.
An AI model must follow all given rules exactly. The AI model must not make its own choices about style or content. The AI model must only use information from approved sources.