An AI model defaults to generic meanings for certain words. These words make the AI model produce common or unoriginal text. A developer must avoid these words in all parts of a project.
By Pawan Nayar · from the LLOS AI Learning record
An AI model defaults to generic meanings for certain words.
These words make the AI model produce common or unoriginal text. A developer must avoid these words in all parts of a project.
Certain words have strong, common meanings for an AI model. When these words are used, the AI model often creates very typical or unoriginal text. This happens in prompts, code, and even conversations about the project. Avoiding these words helps the AI model create more unique and specific outputs. This rule applies to all parts of development. This includes prompts, code names, file names, and comments.
A developer wants an AI model to create new ideas. The developer uses the word 'forge' in a prompt. The AI model then produces ideas that are very similar to existing ones. The developer changes the prompt to use 'create' instead of 'forge'. The AI model then generates more original and distinct ideas.
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An AI model often uses common labels for writers. These labels are called literary archetypes.
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An AI model should avoid words like 'today,' 'tomorrow,' or 'this week.' It should not say how long a task will take. The AI model does not have a personal schedule.
An AI model defaults to generic meanings for certain words. These words make the AI model produce common or unoriginal text. A developer must avoid these words in all parts of a project.