README phrasing

README.md

@@ -7610,7 +7610,7 @@ model-index:
 
 ## News
 
-07/18/2024: Released of `snowflake-arctic-embed-m-v1.5`, capable of producing highly compressible embedding vectors that preserve quality even when squished as small as 128 bytes per vector.
+07/18/2024: Release of `snowflake-arctic-embed-m-v1.5`, capable of producing highly compressible embedding vectors that preserve quality even when squished as small as 128 bytes per vector.
 
 05/10/2024: Release of the [technical report on Arctic Embed](https://arxiv.org/abs/2405.05374)
 
@@ -7619,7 +7619,7 @@ model-index:
 
 ## This Model
 
-This model is an incremental improvement over the original [snowflake-arctic-embed-m](https://huggingface.co/Snowflake/snowflake-arctic-embed-m/) designed to improve embedding vector compressibility. This model achieves a slightly higher performance overall without compression, and it is additionally capable of retaining most of its retrieval quality even down to 128 byte embedding vectors through a combination of [Matryoshka Representation Learning (MRL)](https://arxiv.org/abs/2205.13147) and uniform scalar quanitization.
+This model is an updated version of the original [snowflake-arctic-embed-m](https://huggingface.co/Snowflake/snowflake-arctic-embed-m/) designed to improve embedding vector compressibility. This model achieves a slightly higher performance overall without compression, and it is additionally capable of retaining most of its retrieval quality even down to 128 byte embedding vectors through a combination of [Matryoshka Representation Learning (MRL)](https://arxiv.org/abs/2205.13147) and uniform scalar quanitization.
 
 | Model Name                                                                                      | MTEB Retrieval Score (NDCG @ 10) |
 |:------------------------------------------------------------------------------------------------|:---------------------------------|