An AI model's unique features must have their own separate prompts. Mixing unique features into a main prompt dilutes their effect. A user's selection in the user interface should directly route to a specific, isolated prompt for that feature.
By Pawan Nayar · from the LLOS AI Learning record
An AI model's unique features must have their own separate prompts.
Mixing unique features into a main prompt dilutes their effect. A user's selection in the user interface should directly route to a specific, isolated prompt for that feature.
A developer must give each non-standard AI feature its own dedicated prompt. This means building a new prompt from scratch for each unique feature. The user interface should act as a signal to choose which specific prompt to use. This prevents the AI model from averaging out important instructions. It ensures that the AI model focuses only on the instructions for that one feature.
A developer creates an AI model that can write slogans. One special feature is 'Sound Signatures' for poetic language. If the developer puts instructions for 'Sound Signatures' inside a large main prompt, the AI model might ignore them. The AI model will try to follow all instructions at once. This makes the poetic language weak. Instead, the developer creates a small, specific prompt only for 'Sound Signatures'. When a user selects 'Sound Signatures', the AI model uses only that small prompt. This makes the poetic language strong and clear.
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A good plan for a design tool includes a detailed product document. This document describes all features.
An AI model can have hundreds of voices. These voices are grouped into categories.
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Adding more rules to a prompt does not create variety. The AI model will follow the new rules, making the output rigid in a different way.
An AI model's unique features must have their own separate prompts. Mixing unique features into a main prompt dilutes their effect. A user's selection in the user interface should directly route to a specific, isolated prompt for that feature.