add acknowledgments

app/src/content/chapters/7-conclusions.mdx

@@ -19,4 +19,8 @@ Beyond faster generation, we answered several questions about best practices but
 - **Source filtering**: Should we filter documents before or after rephrasing? For instance, applying a math prompt to non-mathematical documents likely wastes compute and adds noise.
 - **Larger ablations and mixtures**: We want to run more extensive mixture experiments, exploring how synthetic data interacts with source data at scale, in line with the recent [smol-data](https://huggingface.co/spaces/HuggingFaceTB/smol-data) effort.
 
-The playbook is open. Build on it.
+The playbook is open. Build on it.
+
+## Acknowledgements
+
+We thank Ratish Puduppully for sharing the G-Vendi paper and discussion around diversity scores. We are thankful to the anonymous CoLM reviewers for their detailed feedback.