Add PR review comment #1

Co-authored-by: Valentin Volkl <[email protected]>

Author: jlsmith-hep

_gsocorgs/2025/baler.md

@@ -5,7 +5,7 @@ layout: default
 organization: baler
 logo: baler-logo.png
 description: |
-  BALER is a compression tool undergoing development at the particle physics division of the University of Manchester. BA:ER uses autoencoder and other types of neural networks as a type of lossy machine learning-based compression to compress multi-dimensional data and evaluate the accuracy of the dataset after compression. BALER is led by a collaboration of early-career scientists and welcomes all contributions.
+  BALER is a compression tool undergoing development at the particle physics division of the University of Manchester. BALER uses autoencoder and other types of neural networks as a type of lossy machine learning-based compression to compress multi-dimensional data and evaluate the accuracy of the dataset after compression. BALER is led by a collaboration of early-career scientists and welcomes all contributions.
 ---
 
 {% include gsoc_proposal.ext %}