diff --git a/fern/pages/llm-university/intro-text-representation/clustering-with-embeddings.mdx b/fern/pages/llm-university/intro-text-representation/clustering-with-embeddings.mdx
index 37b0c1ef1..659014782 100644
--- a/fern/pages/llm-university/intro-text-representation/clustering-with-embeddings.mdx
+++ b/fern/pages/llm-university/intro-text-representation/clustering-with-embeddings.mdx
@@ -31,7 +31,7 @@ Let’s look at an example using the same 9 data points.
 - which airlines fly between boston and pittsburgh
 ```
 
-### Step 1: Embed the Text for Clustesring
+### Step 1: Embed the Text for Clustering
 
 We embed the documents using the same `get_embeddings()` function as before, but now we set `input_type="clustering"` because we'll use the embeddings for clustering.