diff --git a/README.md b/README.md
index 6c944f5a6..c6042f596 100644
--- a/README.md
+++ b/README.md
@@ -26,16 +26,16 @@ large model on hundreds of computers from different universities, companies, and
 To learn more about the ideas behind this library,
 see the [full list](https://github.com/learning-at-home/hivemind/tree/refer-to-discord-in-docs#citation) of our papers below.
 
-## Example Applications and Use Cases
+## Example Use Cases
 
 This section lists projects that leverage hivemind for decentralized training. 
 If you have succesfully trained a model or created a downstream repository with the help of our library, 
 feel free to submit a pull request that adds your project to this list.
 
-* [sahajBERT](https://github.com/tanmoyio/sahajbert) — a collaboratively pretrained ALBERT-xlarge for the Bengali language.
-* [CALM](https://github.com/NCAI-Research/CALM) (Collaborative Arabic Language Model) — a masked language model trained on a combination of Arabic datasets.
-* [Training Transformers Together](https://training-transformers-together.github.io/) — a NeurIPS 2021 demonstration that trained a collaborative text-to-image Transformer model.
-* [HivemindStrategy](https://pytorch-lightning.readthedocs.io/en/latest/api/pytorch_lightning.strategies.HivemindStrategy.html) in PyTorch Lightning allows adapting your existing pipelines to training over slow network with unreliable peers.
+* **sahajBERT** ([blog post](https://huggingface.co/blog/collaborative-training), [code](https://github.com/tanmoyio/sahajbert)) — a collaboratively pretrained ALBERT-xlarge for the Bengali language.
+* **CALM** ([webpage](https://huggingface.co/CALM), [code](https://github.com/NCAI-Research/CALM)) — a masked language model trained on a combination of Arabic datasets.
+* **Training Transformers Together** ([webpage](https://training-transformers-together.github.io/), [code](https://github.com/learning-at-home/dalle-hivemind)) — a NeurIPS 2021 demonstration that trained a collaborative text-to-image Transformer model.
+* **HivemindStrategy** ([docs](https://pytorch-lightning.readthedocs.io/en/latest/api/pytorch_lightning.strategies.HivemindStrategy.html)) in PyTorch Lightning allows adapting your existing pipelines to training over slow network with unreliable peers.
 
 ## Installation