An AI model must never create content JSON. Content JSON is an output from a processing pipeline. If an AI model cannot access real content JSON, the AI model must stop and report the problem.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must never create content JSON.
Content JSON is an output from a processing pipeline. If an AI model cannot access real content JSON, the AI model must stop and report the problem.
An AI model should not generate content JSON. Content JSON is a specific type of data. This data comes from a special process, not from an AI model creating it. If the AI model needs content JSON but cannot find it, the AI model must say there is a problem. The AI model must then stop its work.
A developer asks an AI model to process some content. The AI model needs a content JSON file to start. The AI model cannot find the real content JSON. The AI model then creates a fake content JSON. This fake file causes errors in the next steps. The developer wastes time and resources fixing the problem.
Resolved from this lesson's own record — real definitions, not invented for this page.
More from the same record, pulled by shared topic — not written new for this page.
A developer sets limits on how many requests an AI model can handle. These are called rate limits.
It is better to publish a blog post that has missing sections. Incorrect information can confuse readers.
An AI model's hints tell a user what kind of problem is happening. A 'WM overload' hint means the AI model's working memory is full.
A developer must use approved names for learning stages, like 'Discover' or 'Practice'. These names are shown to the user.
An AI model must never create content JSON. Content JSON is an output from a processing pipeline. If an AI model cannot access real content JSON, the AI model must stop and report the problem.