An AI model often uses certain words too much. A developer can control which words an AI model uses. This makes the AI model's language more varied and interesting.
By Pawan Nayar · from the LLOS AI Learning record
An AI model often uses certain words too much.
A developer can control which words an AI model uses. This makes the AI model's language more varied and interesting.
An AI model learns from many texts. It might favor some words, called 'comfort words.' It might also use words that sound important but add little meaning, called 'fake-depth words.' A developer can identify these words. The developer can then tell the AI model to use other words instead. This process helps the AI model speak in a more diverse way.
A developer creates an AI model that writes stories. The developer notices the AI model often uses the word 'journey.' The developer adds 'journey' to a list of words the AI model should use less. Now, the AI model uses words like 'adventure' or 'expedition' instead. The stories become more interesting to read.
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An AI model should use rare words from different difficulty levels. This means not just using words that are a little uncommon.
An AI model might replace a banned word with a synonym. This new word can then become overused.
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.
An AI model often uses certain words too much. A developer can control which words an AI model uses. This makes the AI model's language more varied and interesting.