An AI model can understand complex instructions. However, the AI model may not be able to follow all instructions at the same time. Too many rules can make the AI model perform worse.
By Pawan Nayar · from the LLOS AI Learning record
An AI model can understand complex instructions.
However, the AI model may not be able to follow all instructions at the same time. Too many rules can make the AI model perform worse.
A developer gave an AI model many rules for generating text. The rules included specific styles, content bans, and structural requirements. The AI model understood each rule individually. However, the AI model could not apply all rules perfectly at once. This led to errors in the generated text.
A developer asked an AI model to write stories. The developer gave the AI model 14 different style rules. The developer also told the AI model to avoid certain words. The AI model tried to follow all rules. Some stories were good, but many stories did not follow all the rules. The AI model struggled to balance all the instructions.
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An AI model needs clear and complete instructions. The user must state the desired outcome precisely.
An AI model must follow the user's algorithm as written. If the AI model's output does not meet the user's requirements, the AI model's execution is wrong.
An AI model's quality suffers when it lacks specific research information. This information includes common wrong answers, how knowledge transfers, and item creation rules.
A developer tried to make an AI model write in many different voices. The developer created a detailed system for each voice.
An AI model can understand complex instructions. However, the AI model may not be able to follow all instructions at the same time. Too many rules can make the AI model perform worse.