diff --git a/pages/introduction/examples.en.mdx b/pages/introduction/examples.en.mdx
index 61cfd2e76..0905fdf52 100644
--- a/pages/introduction/examples.en.mdx
+++ b/pages/introduction/examples.en.mdx
@@ -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:
@@ -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.
 
 ---