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◆ AI Learning · Hard rule

How should an AI model handle default word choices?

An AI model should use general fallback options. The AI model must not use specific words as default settings. This prevents unexpected word choices.

By Pawan Nayar · from the LLOS AI Learning record

The rule

An AI model should use general fallback options.

The AI model must not use specific words as default settings. This prevents unexpected word choices.

An AI model should use generic fallback options. This means the AI model does not have specific words pre-set. If an array needs a default, it should be empty. The AI model should get values using `Object.values()[0]`. The AI model should not use specific named keys. New words should be added to the `interactions{}` schema.

A developer creates an AI model that generates poems. The developer sets a default list of 'pride' words for rhymes. When the AI model cannot find a rhyme, it uses these 'pride' words. This makes many poems sound the same. The AI model should have an empty list as a default. This allows the AI model to find new words each time.

Words you'll need

Resolved from this lesson's own record — real definitions, not invented for this page.

Token Generation

One word at a time, step by step

Language Model Inference

Running the model to generate text from a prompt

Generative AI

AI that creates new content like text or images

Natural Language Generation

AI writing text that sounds like a person wrote it

Questions people ask

More from the same record, pulled by shared topic — not written new for this page.

How does the word viewer work with different words and their data?

The system uses one main viewer file. This file is called `gold_viewer_shell.html`.

How do an AI model's 'voice' settings interact with other writing settings?

An AI model's 'voice' setting defines how sentences are built. It also defines the special ways sentences change or turn.

How can an AI model's viewer show correct information for all words, not just the first word it learned?

The viewer was first made for one specific word. It used that word's content as default settings.

How can an AI model change its message based on a user's score?

An AI model can use different headlines for different scores. This makes the message personal for the user.

What to remember

An AI model should use general fallback options. The AI model must not use specific words as default settings. This prevents unexpected word choices.