Update README.md

README.md

@@ -2614,13 +2614,15 @@ library_name: transformers
 
 # 🪆mxbai-embed-2d-large-v1🪆
 
-This is our [2DMSE](https://arxiv.org/abs/2402.14776) sentence embedding model. It supports the adaptive Transformer layer and embedding size.
+This is our [2DMSE](https://arxiv.org/abs/2402.14776) sentence embedding model. It supports the adaptive transformer layer and embedding size. Find out more in our [blog post](https://mixedbread.ai/blog/2d-mse).
+
+TLDR: TLDR: 2D-🪆 allows you to shrink the model and the embeddings layer. Shrinking only the embeddings model yields competetive results to other models like [nomics embeddings model](https://huggingface.co/nomic-ai/nomic-embed-text-v1.5). Shrinking the model to ~50% maintains upto 85% of the performance without further training.
 
 ## Quickstart
 
 Here, we provide several ways to produce sentence embeddings with adaptive layers and embedding sizes.  **For this version, it is recommended to set adaptive layers from 20 to 24.**
 
-### 1. sentence-transformers
+### sentence-transformers
 
 Currently, the best way to use our models is with the most recent version of sentence-transformers.
 
@@ -2640,9 +2642,10 @@ model = SentenceTransformer(modules=[word_embedding_model, pooling_model])
 
 # 2. set adaptive layer and embedding size.
 # it is recommended to set layers from 20 to 24.
-new_num_layers = 22  # 1d: layer
+new_num_layers = 22  # 1D: set layer size
 model[0].auto_model.encoder.layer = model[0].auto_model.encoder.layer[:new_num_layers]
-new_embedding_size = 768  # 2d: embedding size
+
+new_embedding_size = 768  # 2d: set embedding size
 
 # 3. encode
 embeddings = model.encode(
@@ -2658,7 +2661,7 @@ similarities = cos_sim(embeddings[0, :new_embedding_size], embeddings[1, :new_em
 print('similarities:', similarities)
 ```
 
-### 2. angle-emb
+### angle-emb
 
 You can also use the lastest `angle-emb` for inference, as follows:
 
@@ -2692,3 +2695,13 @@ print('similarities:', similarities)
 
 You’ll be able to use the models through our API as well. The API is coming soon and will have some exciting features. Stay tuned!
 
+## Evaluation
+
+Please find more information in our [blog post](https://mixedbread.ai/blog/2d-mse)
+
+## Community
+Please join our [Discord Community](https://discord.gg/jDfMHzAVfU) and share your feedback and thoughts! We are here to help and also always happy to chat.
+
+## License
+Apache 2.0
+