An AI model can overuse certain words. This makes its output sound generic or falsely profound. Developers can create a list of overused words and instruct the AI model to avoid them.
By Pawan Nayar · from the LLOS AI Learning record
An AI model can overuse certain words.
This makes its output sound generic or falsely profound. Developers can create a list of overused words and instruct the AI model to avoid them.
An AI model sometimes uses the same words too often. These words can be boring or try to sound wise without being truly wise. A developer can make a list of these words. The AI model then learns not to use them in its responses. This helps the AI model create more original and meaningful text.
A developer builds an AI model that writes short sayings. The developer notices the AI model often uses words like "journey" and "wisdom." The developer adds these words to a 'banned' list. Now, when the AI model writes, it must find other words. This makes the sayings sound more fresh and unique.
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A developer checks the words an AI model uses often. If a word that was banned no longer appears in the top 50 words, the developer can remove it from the ban list.
An AI model can use a set number of rare words in its output. For example, it can use six rare words.
Certain words are overused in general communication. When these words are used in prompts or code, an AI model tends to produce generic or unoriginal text.
A developer can design templates with 'slots' for variables. Each slot has a list of possible words or phrases.
An AI model can overuse certain words. This makes its output sound generic or falsely profound. Developers can create a list of overused words and instruct the AI model to avoid them.