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Update examples.en.mdx #348

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4 changes: 2 additions & 2 deletions pages/introduction/examples.en.mdx
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Expand Up @@ -143,7 +143,7 @@ To highlight why sometimes being specific is important, check out the example be

*Prompt:*
```
Classify the text into nutral, negative or positive.
Classify the text into neutral, negative or positive.

Text: I think the vacation is okay.
Sentiment:
Expand All @@ -154,7 +154,7 @@ Sentiment:
Neutral
```

What is the problem here? As a hint, the made-up `nutral` label is completely ignored by the model. Instead, the model outputs `Neutral` as it has some bias towards that label. But let's assume that what you really want is `nutral`. How would you fix this? Maybe you can try adding descriptions to the labels or add more examples to the prompt? If you are not sure, we will discuss a few ideas in the upcoming sections.
What is the problem here? As a hint, the made-up `neutral` label is completely ignored by the model. Instead, the model outputs `Neutral` as it has some bias towards that label. But let's assume that what you really want is `neutral`. How would you fix this? Maybe you can try adding descriptions to the labels or add more examples to the prompt? If you are not sure, we will discuss a few ideas in the upcoming sections.

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