An AI model's output should consistently reflect the user's input, especially when a specific 'seed' or style is requested. The AI model's internal data structure must separate thematic content from structural instructions to prevent unwanted thematic drift.
By Pawan Nayar · from the LLOS AI Learning record
An AI model's output should consistently reflect the user's input, especially when a specific 'seed' or style is requested.
The AI model's internal data structure must separate thematic content from structural instructions to prevent unwanted thematic drift.
The AI model's internal data structure needs to be reviewed. The data that defines a 'voice' or style should be separated. Thematic elements, like common topics, should be removed from structural instructions. This ensures the AI model focuses on the requested input and not on predefined themes. The AI model's prompt building process must be updated. It needs to use only the structural parts of the voice definition. This prevents the AI model from adding unwanted thematic content.
A writer uses an AI model to generate text in the style of a famous author. The writer provides a specific topic, like 'dogs'. The AI model, however, consistently writes about 'love' and 'longing', even for different topics. This happens because the AI model's definition for that author's 'voice' includes thematic words like 'love' and 'longing' mixed with writing style instructions. The AI model needs to be updated to separate these. The AI model should then only use the style instructions, not the thematic words, when generating text.
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An AI model often remembers the last things it reads best. This is called the recency effect.
An AI model's 'voice' should only control the writing style, like sentence structure and rhythm. It should not control the specific words or content.
An AI model's 'voice' setting defines how sentences are built. It also defines the special ways sentences change or turn.
The AI model needs specific variable names. These include `<PREFIX>_GLOSSARY`, `<PREFIX>_FAQ`, and `<PREFIX>_QUESTIONS`.
An AI model's output should consistently reflect the user's input, especially when a specific 'seed' or style is requested. The AI model's internal data structure must separate thematic content from structural instructions to prevent unwanted thematic drift.