An AI model must not create content JSON files for blogs or festivals. These files are outputs from a specific data pipeline. Generating them bypasses the correct process and uses the wrong AI model.
By Pawan Nayar · from the LLOS AI Learning record
An AI model must not create content JSON files for blogs or festivals.
These files are outputs from a specific data pipeline. Generating them bypasses the correct process and uses the wrong AI model.
Content JSON files are created by a specific data pipeline. This pipeline uses a different AI model. The correct model is much cheaper for this task. Generating these files outside the pipeline skips important steps. This means the real process is not tested. Tests run with fake data do not show how the real system works.
A developer asks an AI model to test a blog system. The AI model creates a fake content JSON file. The system appears to work. Later, when real content JSON from the correct pipeline is used, the system breaks. The developer wasted time testing with incorrect data.
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An AI model must not create content JSON files for blogs or festivals. These files are outputs from a specific data pipeline. Generating them bypasses the correct process and uses the wrong AI model.